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    <title>DEV Community: Sam Chen</title>
    <description>The latest articles on DEV Community by Sam Chen (@samchenreviews).</description>
    <link>https://dev.to/samchenreviews</link>
    <image>
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      <title>DEV Community: Sam Chen</title>
      <link>https://dev.to/samchenreviews</link>
    </image>
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    <language>en</language>
    <item>
      <title>How to Build a Custom RAG Pipeline: A Step-by-Step Guide to Production-Ready AI Assistants</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Sun, 12 Jul 2026 06:31:17 +0000</pubDate>
      <link>https://dev.to/samchenreviews/how-to-build-a-custom-rag-pipeline-a-step-by-step-guide-to-production-ready-ai-assistants-3ia8</link>
      <guid>https://dev.to/samchenreviews/how-to-build-a-custom-rag-pipeline-a-step-by-step-guide-to-production-ready-ai-assistants-3ia8</guid>
      <description>&lt;h2&gt;
  
  
  How to Build a Custom RAG Pipeline: A Step-by-Step Guide to Production-Ready AI Assistants
&lt;/h2&gt;

&lt;p&gt;“`html How to Build a Custom RAG Pipeline: A Step-by-Step Guide to Production-Ready AI Assistants 1. Understanding RAG Architecture &amp;amp; […]&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://aiinactionhub.com/uncategorized/how-to-build-a-custom-rag-pipeline-a-step-by-step-guide-to-production-ready-ai-assistants/" rel="noopener noreferrer"&gt;AI In Action Hub&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>Latest AI News Shaping Enterprise Workflows in 2024</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Sat, 11 Jul 2026 06:24:50 +0000</pubDate>
      <link>https://dev.to/samchenreviews/latest-ai-news-shaping-enterprise-workflows-in-2024-4gm3</link>
      <guid>https://dev.to/samchenreviews/latest-ai-news-shaping-enterprise-workflows-in-2024-4gm3</guid>
      <description>&lt;h2&gt;
  
  
  Latest AI News Shaping Enterprise Workflows in 2024
&lt;/h2&gt;

&lt;p&gt;🎧 Listen to this article&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://clearainews.com/uncategorized/latest-ai-news-shaping-enterprise-workflows-in-2024/" rel="noopener noreferrer"&gt;Clear AI News&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>music production for beginners — Lead Magnet</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Fri, 10 Jul 2026 06:30:38 +0000</pubDate>
      <link>https://dev.to/samchenreviews/music-production-for-beginners-lead-magnet-4apg</link>
      <guid>https://dev.to/samchenreviews/music-production-for-beginners-lead-magnet-4apg</guid>
      <description>&lt;h2&gt;
  
  
  music production for beginners — Lead Magnet
&lt;/h2&gt;

&lt;p&gt;Here is a free lead magnet outline designed to be a high-value PDF checklist that builds trust with beginners while creating a clear desire for…&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://wealthfromai.com/music-production-for-beginners-lead-magnet/" rel="noopener noreferrer"&gt;Wealth From AI&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>Optinmonster Review (2026 Update)</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Thu, 09 Jul 2026 14:32:30 +0000</pubDate>
      <link>https://dev.to/samchenreviews/optinmonster-review-2026-update-5d31</link>
      <guid>https://dev.to/samchenreviews/optinmonster-review-2026-update-5d31</guid>
      <description>&lt;h2&gt;
  
  
  Optinmonster Review (2026 Update)
&lt;/h2&gt;

&lt;p&gt;Affiliate Disclosure: This post contains affiliate links. If you purchase through these links, we may earn a commission at no […]&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://aidiscoverydigest.com/reviews/optinmonster-review/" rel="noopener noreferrer"&gt;AI Discovery Digest&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>Machine Learning Breakthroughs Reshape AI Capabilities in 2025</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Wed, 08 Jul 2026 10:58:03 +0000</pubDate>
      <link>https://dev.to/samchenreviews/machine-learning-breakthroughs-reshape-ai-capabilities-in-2025-2099</link>
      <guid>https://dev.to/samchenreviews/machine-learning-breakthroughs-reshape-ai-capabilities-in-2025-2099</guid>
      <description>&lt;h2&gt;
  
  
  Machine Learning Breakthroughs Reshape AI Capabilities in 2025
&lt;/h2&gt;

&lt;p&gt;The landscape of artificial intelligence is experiencing a transformative phase, driven by significant &lt;strong&gt;machine learning breakthroughs&lt;/strong&gt; that are redefining what models can achieve. As developers leverage advanced frameworks, the efficiency of &lt;strong&gt;model&lt;/strong&gt; training and deployment has seen a notable le&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://clearainews.com/uncategorized/machine-learning-breakthroughs-reshape-ai-capabilities-in-2025/" rel="noopener noreferrer"&gt;Clear AI News&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>10 Latest AI News In: Tested Picks for Every Budget (2026)</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Tue, 07 Jul 2026 10:49:55 +0000</pubDate>
      <link>https://dev.to/samchenreviews/10-latest-ai-news-in-tested-picks-for-every-budget-2026-3eao</link>
      <guid>https://dev.to/samchenreviews/10-latest-ai-news-in-tested-picks-for-every-budget-2026-3eao</guid>
      <description>&lt;h2&gt;
  
  
  10 Latest AI News In: Tested Picks for Every Budget (2026)
&lt;/h2&gt;

&lt;p&gt;This article contains affiliate links. We may earn a commission at no extra cost to you. Full disclosure. Frequently Asked Questions About Latest Ai News what is the latest breakthrough in ai 2024? OpenAI released GPT-4o in May 2024, featuring multimodal capabilities processing text, images, and aud&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://clearainews.com/uncategorized/10-latest-ai-news-in-tested-picks-for-every-budget-2026/" rel="noopener noreferrer"&gt;Clear AI News&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>Complete Grounding Equipment Buying Guide 2026</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Mon, 06 Jul 2026 14:01:48 +0000</pubDate>
      <link>https://dev.to/samchenreviews/complete-grounding-equipment-buying-guide-2026-ce0</link>
      <guid>https://dev.to/samchenreviews/complete-grounding-equipment-buying-guide-2026-ce0</guid>
      <description>&lt;h2&gt;
  
  
  What Is 2026 Retirement Planning Guide?
&lt;/h2&gt;

&lt;p&gt;[Introduction to 2026 Retirement Planning Guide — explain what it is, why it matters, and who it's for. 200-300 words.]&lt;/p&gt;

&lt;h2&gt;
  
  
  How to Get Started with Complete Grounding Equipment Buying Guide 2026
&lt;/h2&gt;

&lt;p&gt;[Step-by-step beginner guide. 300-400 words with numbered steps.]&lt;/p&gt;

&lt;h2&gt;
  
  
  Essential Tools and Products
&lt;/h2&gt;

&lt;p&gt;[Product recommendations with prices. Include comparison table.]&lt;/p&gt;

&lt;p&gt;[Comparison table - see full article]&lt;/p&gt;

&lt;h2&gt;
  
  
  Common Mistakes to Avoid
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;[Mistake 1 — why it happens and how to prevent it]- [Mistake 2]- [Mistake 3]&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Tips from Experienced 2026 Retirement Planning Guide Enthusiasts
&lt;/h2&gt;

&lt;p&gt;[Expert-level tips that beginners wouldn't know. 200-300 words.]&lt;/p&gt;

&lt;h2&gt;
  
  
  Frequently Asked Questions
&lt;/h2&gt;

&lt;h3&gt;
  
  
  How much does 2026 retirement planning guide cost to start?
&lt;/h3&gt;

&lt;p&gt;[Honest cost breakdown.]&lt;/p&gt;

&lt;h3&gt;
  
  
  Is 2026 retirement planning guide difficult for beginners?
&lt;/h3&gt;

&lt;p&gt;[Encouraging but honest answer.]&lt;/p&gt;

&lt;h3&gt;
  
  
  What's the best time to start?
&lt;/h3&gt;

&lt;p&gt;[Practical timing advice.]&lt;/p&gt;




&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://groundinge.com/complete-grounding-equipment-buying-guide-2026/" rel="noopener noreferrer"&gt;groundinge.com&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>wellness</category>
      <category>health</category>
      <category>grounding</category>
      <category>beginners</category>
    </item>
    <item>
      <title>Complete Guide To Permaculture Design Made Easy For Beginner</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Mon, 06 Jul 2026 14:01:12 +0000</pubDate>
      <link>https://dev.to/samchenreviews/complete-guide-to-permaculture-design-made-easy-for-beginner-20g1</link>
      <guid>https://dev.to/samchenreviews/complete-guide-to-permaculture-design-made-easy-for-beginner-20g1</guid>
      <description>&lt;h2&gt;
  
  
  What Is Permaculture Design Made Easy?
&lt;/h2&gt;

&lt;p&gt;[Introduction to Permaculture Design Made Easy — explain what it is, why it matters, and who it's for. 200-300 words.]&lt;/p&gt;

&lt;h2&gt;
  
  
  How to Get Started with Permaculture Design Made Easy
&lt;/h2&gt;

&lt;p&gt;[Step-by-step beginner guide. 300-400 words with numbered steps.]&lt;/p&gt;

&lt;h2&gt;
  
  
  Essential Tools and Products
&lt;/h2&gt;

&lt;p&gt;[Product recommendations with prices. Include comparison table.]&lt;/p&gt;

&lt;p&gt;[Comparison table - see full article]&lt;/p&gt;

&lt;h2&gt;
  
  
  Common Mistakes to Avoid
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;[Mistake 1 — why it happens and how to prevent it]- [Mistake 2]- [Mistake 3]&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Tips from Experienced Permaculture Design Made Easy Enthusiasts
&lt;/h2&gt;

&lt;p&gt;[Expert-level tips that beginners wouldn't know. 200-300 words.]&lt;/p&gt;

&lt;h2&gt;
  
  
  Frequently Asked Questions
&lt;/h2&gt;

&lt;h3&gt;
  
  
  How much does permaculture design made easy cost to start?
&lt;/h3&gt;

&lt;p&gt;[Honest cost breakdown.]&lt;/p&gt;

&lt;h3&gt;
  
  
  Is permaculture design made easy difficult for beginners?
&lt;/h3&gt;

&lt;p&gt;[Encouraging but honest answer.]&lt;/p&gt;

&lt;h3&gt;
  
  
  What's the best time to start?
&lt;/h3&gt;

&lt;p&gt;[Practical timing advice.]&lt;/p&gt;




&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://permaeasy.com/complete-guide-to-permaculture-design-made-easy-for-beginner/" rel="noopener noreferrer"&gt;permaeasy.com&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>gardening</category>
      <category>sustainability</category>
      <category>permaculture</category>
      <category>guide</category>
    </item>
    <item>
      <title>How to Build a Custom AI Chatbot in Under an Hour (Using OpenAI API)</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Mon, 06 Jul 2026 06:18:57 +0000</pubDate>
      <link>https://dev.to/samchenreviews/how-to-build-a-custom-ai-chatbot-in-under-an-hour-using-openai-api-93f</link>
      <guid>https://dev.to/samchenreviews/how-to-build-a-custom-ai-chatbot-in-under-an-hour-using-openai-api-93f</guid>
      <description>&lt;h2&gt;
  
  
  How to Build a Custom AI Chatbot in Under an Hour (Using OpenAI API)
&lt;/h2&gt;

&lt;p&gt;“`html Article Outline – AI Chatbot Tutorial How to Build a Custom AI Chatbot in Under an Hour (Using OpenAI […]&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://aiinactionhub.com/uncategorized/how-to-build-a-custom-ai-chatbot-in-under-an-hour-using-openai-api/" rel="noopener noreferrer"&gt;AI In Action Hub&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>AI Tools for Small Business Owners</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Sun, 05 Jul 2026 06:22:29 +0000</pubDate>
      <link>https://dev.to/samchenreviews/ai-tools-for-small-business-owners-13j2</link>
      <guid>https://dev.to/samchenreviews/ai-tools-for-small-business-owners-13j2</guid>
      <description>&lt;h2&gt;
  
  
  AI Tools for Small Business Owners
&lt;/h2&gt;

&lt;p&gt;🎧 Listen to this article&lt;/p&gt;

&lt;p&gt;This article originally appeared on &lt;a href="https://clearainews.com/uncategorized/ai-tools-for-small-business-owners/" rel="noopener noreferrer"&gt;Clear AI News&lt;/a&gt;. Visit the full post for images and embedded resources.&lt;/p&gt;




&lt;p&gt;&lt;em&gt;What are your thoughts? Drop a comment below!&lt;/em&gt;&lt;/p&gt;

</description>
    </item>
    <item>
      <title>**Building a Profitable AI-Powered Affiliate Marketing Business**</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Sat, 04 Jul 2026 18:10:38 +0000</pubDate>
      <link>https://dev.to/samchenreviews/building-a-profitable-ai-powered-affiliate-marketing-business-1p2n</link>
      <guid>https://dev.to/samchenreviews/building-a-profitable-ai-powered-affiliate-marketing-business-1p2n</guid>
      <description>&lt;p&gt;=================================================================&lt;/p&gt;

&lt;p&gt;As a developer, you're likely no stranger to the concept of affiliate marketing. But have you considered how AI can supercharge your affiliate marketing efforts? In this tutorial, we'll explore a cutting-edge AI business model that combines the power of language models with affiliate marketing to generate passive income.&lt;/p&gt;

&lt;h2&gt;
  
  
  &lt;strong&gt;Introduction to AI-Powered Affiliate Marketing&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Traditional affiliate marketing involves promoting products or services from other companies and earning a commission on sales. However, with the rise of AI, we can now automate many of the tedious tasks involved in affiliate marketing, such as content creation, product research, and even customer engagement.&lt;/p&gt;

&lt;h2&gt;
  
  
  &lt;strong&gt;The AI Business Model&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Our AI business model will consist of the following components:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;
&lt;strong&gt;LLM (Large Language Model) Integration&lt;/strong&gt;: We'll use a LLM to generate high-quality content, such as product reviews and tutorials, that will attract potential customers.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Affiliate Network Integration&lt;/strong&gt;: We'll integrate our LLM with an affiliate network, such as Amazon Associates or ShareASale, to promote products and earn commissions.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Customer Engagement&lt;/strong&gt;: We'll use a chatbot to engage with customers, answer questions, and provide support.&lt;/li&gt;
&lt;/ol&gt;

&lt;h2&gt;
  
  
  &lt;strong&gt;Step 1: Setting up the LLM&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;For this tutorial, we'll use the Hugging Face Transformers library to integrate a LLM into our affiliate marketing business. First, install the required library:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;pip &lt;span class="nb"&gt;install &lt;/span&gt;transformers
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Next, import the library and load a pre-trained LLM model:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;torch&lt;/span&gt;
&lt;span class="kn"&gt;from&lt;/span&gt; &lt;span class="n"&gt;transformers&lt;/span&gt; &lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;T5ForConditionalGeneration&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;T5Tokenizer&lt;/span&gt;

&lt;span class="c1"&gt;# Load pre-trained LLM model and tokenizer
&lt;/span&gt;&lt;span class="n"&gt;model&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;T5ForConditionalGeneration&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;from_pretrained&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="sh"&gt;'&lt;/span&gt;&lt;span class="s"&gt;t5-base&lt;/span&gt;&lt;span class="sh"&gt;'&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;span class="n"&gt;tokenizer&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;T5Tokenizer&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;from_pretrained&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="sh"&gt;'&lt;/span&gt;&lt;span class="s"&gt;t5-base&lt;/span&gt;&lt;span class="sh"&gt;'&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;h2&gt;
  
  
  &lt;strong&gt;Step 2: Generating Content with the LLM&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Now that we have our LLM set up, let's use it to generate some content. We'll create a function that takes a product title and description as input and generates a high-quality product review:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="k"&gt;def&lt;/span&gt; &lt;span class="nf"&gt;generate_product_review&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;product_title&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;product_description&lt;/span&gt;&lt;span class="p"&gt;):&lt;/span&gt;
    &lt;span class="n"&gt;input_text&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="sa"&gt;f&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;Write a product review for &lt;/span&gt;&lt;span class="si"&gt;{&lt;/span&gt;&lt;span class="n"&gt;product_title&lt;/span&gt;&lt;span class="si"&gt;}&lt;/span&gt;&lt;span class="s"&gt;: &lt;/span&gt;&lt;span class="si"&gt;{&lt;/span&gt;&lt;span class="n"&gt;product_description&lt;/span&gt;&lt;span class="si"&gt;}&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;
    &lt;span class="n"&gt;inputs&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;tokenizer&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;encode&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;input_text&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;return_tensors&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="sh"&gt;'&lt;/span&gt;&lt;span class="s"&gt;pt&lt;/span&gt;&lt;span class="sh"&gt;'&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
    &lt;span class="n"&gt;outputs&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;model&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;generate&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;inputs&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;max_length&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="mi"&gt;200&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
    &lt;span class="n"&gt;review&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;tokenizer&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;decode&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;outputs&lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="mi"&gt;0&lt;/span&gt;&lt;span class="p"&gt;],&lt;/span&gt; &lt;span class="n"&gt;skip_special_tokens&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="bp"&gt;True&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
    &lt;span class="k"&gt;return&lt;/span&gt; &lt;span class="n"&gt;review&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Let's test our function with a sample product:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="n"&gt;product_title&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;Apple AirPods Pro&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;
&lt;span class="n"&gt;product_description&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;Wireless earbuds with active noise cancellation&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;
&lt;span class="n"&gt;review&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="nf"&gt;generate_product_review&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;product_title&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;product_description&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;span class="nf"&gt;print&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;review&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Output:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;"I've been using the Apple AirPods Pro for a few weeks now, and I'm blown away by the sound quality. The active noise cancellation is incredible, and the wireless design makes them so convenient to use. Overall, I'd highly recommend the AirPods Pro to anyone looking for a high-quality pair of earbuds."
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;h2&gt;
  
  
  &lt;strong&gt;Step 3: Integrating with Affiliate Network&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Next, we'll integrate our LLM with an affiliate network. For this example, we'll use the Amazon Associates API. First, sign up for an Amazon Associates account and obtain your API keys.&lt;/p&gt;

&lt;p&gt;Then, install the required library:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;pip &lt;span class="nb"&gt;install &lt;/span&gt;amazon-affiliate
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Next, import the library and set up your API credentials:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;amazon_affiliate&lt;/span&gt;

&lt;span class="c1"&gt;# Set up API credentials
&lt;/span&gt;&lt;span class="n"&gt;access_key&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;YOUR_ACCESS_KEY&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;
&lt;span class="n"&gt;secret_key&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;YOUR_SECRET_KEY&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;
&lt;span class="n"&gt;associate_tag&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;YOUR_ASSOCIATE_TAG&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;

&lt;span class="c1"&gt;# Initialize Amazon Associates API
&lt;/span&gt;&lt;span class="n"&gt;api&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;amazon_affiliate&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nc"&gt;AmazonAPI&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;access_key&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;secret_key&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;associate_tag&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Now, let's create a function that takes a product title and description as input and returns an affiliate link:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="k"&gt;def&lt;/span&gt; &lt;span class="nf"&gt;get_affiliate_link&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;product_title&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;product_description&lt;/span&gt;&lt;span class="p"&gt;):&lt;/span&gt;
    &lt;span class="n"&gt;product&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;api&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;search&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;product_title&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;product_description&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
    &lt;span class="n"&gt;affiliate_link&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;product&lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;url&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;]&lt;/span&gt;
    &lt;span class="k"&gt;return&lt;/span&gt; &lt;span class="n"&gt;affiliate_link&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;h2&gt;
  
  
  &lt;strong&gt;Step 4: Building the Chatbot&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Finally, let's build a simple chatbot using the Rasa library to engage with customers and provide support. First, install the required library:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;pip &lt;span class="nb"&gt;install &lt;/span&gt;rasa
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Next, import the library and set up your chatbot:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;rasa&lt;/span&gt;

&lt;span class="c1"&gt;# Set up chatbot
&lt;/span&gt;&lt;span class="n"&gt;agent&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;rasa&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nc"&gt;Agent&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;models/affiliate_bot&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;

&lt;span class="c1"&gt;# Define intents and actions
&lt;/span&gt;&lt;span class="n"&gt;intents&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;greet&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;product_info&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;support&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;]&lt;/span&gt;
&lt;span class="n"&gt;actions&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;utter_greet&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;utter_product_info&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;utter_support&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;]&lt;/span&gt;

&lt;span class="c1"&gt;# Train chatbot
&lt;/span&gt;&lt;span class="n"&gt;agent&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;train&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;intents&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;actions&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Now, let's create a function that takes a user message as input and returns a response:&lt;/p&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
python
def get_chatbot_response(message):
    response = agent.parse_message(message)
    return response
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

</description>
    </item>
    <item>
      <title>Norton Antivirus Review (2026 Update)</title>
      <dc:creator>Sam Chen</dc:creator>
      <pubDate>Sat, 04 Jul 2026 06:17:43 +0000</pubDate>
      <link>https://dev.to/samchenreviews/norton-antivirus-review-2026-update-23gg</link>
      <guid>https://dev.to/samchenreviews/norton-antivirus-review-2026-update-23gg</guid>
      <description>&lt;h2&gt;
  
  
  Norton Antivirus Review (2026 Update)
&lt;/h2&gt;

&lt;p&gt;🎧 Listen to this article Affiliate Disclosure: This post contains affiliate links. If you purchase through these links, we may earn a commission at no…&lt;/p&gt;

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