What is a Large Language Model (LLM) API?
Large language models (LLMs) are advanced artificial intelligence models that process, analyze, and create natural language. LLMs are fundamentally distinct from typical natural language processing (NLP) techniques, which frequently rely on manually created rules to analyze and interpret text.
LLMs, on the other hand, are meant to learn and recognize patterns in language by analyzing huge volumes of text data. They use neural networks to understand how words are used together and to construct an internal representation of language that may be used for a variety of language-related tasks.
LLM APIs Use Cases
You can use LLM in numerous fields, here are some examples of common use cases:
- Content Generation: LLM APIs can assist generate human-like text for articles, blog entries, marketing content, social media posts, and more. They can help you keep an active online presence by automating article development.
- Chatbots and Virtual Assistants: LLM APIs can power conversational AI by helping chatbots and virtual assistants to interpret user inquiries and offer relevant responses, resulting in more natural and engaging interactions.
- Language Translation: LLM APIs can enable real-time translation of text between multiple languages, facilitating communication and collaboration across global audiences.
- Customer Support: LLM APIs can power automated responses in customer support systems, addressing common inquiries and reducing the workload of support teams.
- Gaming: LLM APIs could be integrated into video games to enhance the interactions between players and non-player characters (NPCs) by providing more natural and context-aware dialogue.
Best LLM APIs on the market
While comparing LLM APIs, it is crucial to consider different aspects, among others, cost security and privacy. LLM experts at Eden AI tested, compared, and used many LLM APIs of the market. Here are some actors that perform well (in alphabetical order):
- AI21Labs: Jurassic-2
- Anthropic: Claude 2
- Cohere
- Falcon
- Google Bard: LaMDA
- Google Generative: PalM
- Meta: Llama2
- OpenAI: GPT
1. AI21Labs: Jurassic-2
Jurassic-2 (or J2) is the next generation of foundation models, featuring major quality improvements and additional capabilities like as zero-shot instruction-following, reduced latency, and multi-language compatibility. J2 provides a more advanced baseline model, making it one of the market's most advanced large language models. J2 supports a number of languages other than English, including Spanish, French, German, Portuguese, Italian, and Dutch. J2's models can perform up to 30% faster than earlier models in terms of latency.
2. Anthropic Claude 2
Claude 2 is a next-generation AI assistant based on Anthropic's research into developing AI systems that are helpful, honest, and harmless. In terms of performance, Claude 2 is a viable alternative to ChatGPT. Claude 2 scored 76.5 percent on the multiple choice section of the Bar exam and in the 90th percentile on the reading and writing portion of the GRE. Its coding skills have improved from its predecessor scoring 71.2 % on a Python coding test compared to Claude's 56 %.
3. Cohere
Cohere is another player in the realm of huge language models. This innovative solution enables developers and organizations to create great products using world-class natural language processing (NLP) technology while keeping their data private and secure.
Cohere enables companies of all sizes to explore, develop, and search for information in novel ways. Because the models have been pre-trained on billions of words, the API is simple to use and to configure. This implies that even small enterprises can now benefit from this cutting-edge technology without breaking the budget.
4. Falcon
Falcon-40B is a fundamental LLM with 40B parameters that trains on one trillion tokens. It is an autoregressive decoder-only model. An autoregressive decoder-only model is trained to predict the next token in a sequence given the preceding tokens. Its architecture has been proved to outperform GPT-3. Falcon 40B, like other LLMs, can develop creative material, solve complex problems, customer service operations, virtual assistants, language translation, and much more!
At present, there is no API available for Falcon. However, you’ll soon be able to access it via Replicate on Eden AI.
5. Google Bard: LaMDA
Bard is a Google AI chatbot that generates human-like text and visuals using the Large Language Model (LLM) and LaMDA (Language Model for Dialogue Applications). Bard, unlike Google Search, is conversational, which means that users can type a question and receive a personalized response in normal language.
Bard exemplifies how LLMs can be utilized to develop great conversational AI experiences. The system may generate text and graphics that are adapted to a single user's input in a natural and engaging manner.
6. Google Generative: PaLM
PaLM, which stands for Pathways Language Model, is one of Google's in-house Large Language Models. It excels in numerous tasks, including generating codes, understanding other languages, reasoning skills, and much more. PaLM powers Bard and combines it with Google Services such as Gmail, Google Docs, and Google Sheets, allowing Bard to deliver data directly to these services.
7. Meta: Llama2
Llama, which stands for Language Learning and Multimodal Analytics, is an innovative concept that deserves to be mentioned in the discussion of LLMs. The Meta AI team created Llama particularly to handle the difficulty of language modeling with limited computational capacity.
Pretrained Llama 2 models are trained using 2 trillion tokens. More than a million annotations by people were used to train its fine-tuned models. On numerous external metrics, including coding, knowledge, competency, and reasoning assessments, Llama 2 exceeds competing open source language models. Compared to Llama 1, it has trained with 40% more data and twice as much context.
Up to this date, there is no API available for Llama2. However, note that you’ll be able to access it via Replicate on Eden AI.
8. OpenAI: GPT
Chatbots are one of the most fascinating applications of LLMs, and ChatGPT is a perfect example for it. ChatGPT is powered by GPT-4 language model, which can hold natural language discussions with users.
ChatGPT's uniqueness relies on the fact that it has been taught on a variety of topics, allowing it to assist with multiple tasks, answer questions, and hold fascinating conversations on a wide range of themes. Using the ChatGPT API, you can easily produce Python code, draft an email, and even adapt to different conversational styles and settings.
Performance variations of LLM API
LLM API performance can vary depending on a number of variables, including the technology used by the provider, the underlying algorithms, the amount of the dataset, the server architecture, and network latency. Listed below are a few typical performance discrepancies between several LLM APIs:
- Prompt and Context: The quality and specificity of the input prompt or context provided to the API can significantly affect the quality of the generated output. Clear and relevant prompts tend to yield better results.
- Language Complexity: Generating text in different languages or dealing with complex sentence structures can impact the performance of the LLM API.
Why choose Eden AI to manage your LLM APIs
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate LLM tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform among several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Face Recognition, Question Answering, Data Anonymization, Speech Recognition, and so forth.
We want our users to have access to multiple LLM engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :
- Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main LLM API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
- Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best LLM API.
- Cost - Performance ratio optimization: You can choose the cheapest LLM provider that performs well for your data.
- Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because LLM APIs will validate and invalidate each other for each piece of data.
How Eden AI can help you?
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.
- Centralized and fully monitored billing on Eden AI for all LLM APIs.
- Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider.
- Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
- The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines).
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your LLM integration project. This can be done by :
- Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
- By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
- By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs.
- Having the possibility to integrate on a third-party platform: we can quickly develop connectors.
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