Machine Learning Page 36

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Abhijeet Zingare

Oct 9

How I’m Using Google Gemini to Smart-Debug My 3rd-Year AI/ML Code 🚀

#ai #beginners #machinelearning #career

1 min read

Umutesi Kelia

Oct 13

How Does a Computer Actually See an Image? My First Steps into Computer Vision

#computervision #machinelearning #python #ai

7 min read

Viswaretas Kotra

Oct 13

How much VRAM do you need to run or fine-tune a 70B model?

#gpu #machinelearning #llm #python

10 min read

Daniel Sam Pete Thiyagu

Oct 8

Only 3% of the Brain Wakes Up: The Mixture-of-Experts Playbook Behind September's Biggest Models

#ai #machinelearning #deeplearning #llm

6 min read

Kaggle Benchmarking Challenge Submission

Jun Matsui

Oct 8

Benchmarking LLMs on ETL Logic Synthesis: Can AI Truly Replace Data Pipeline Scripting?

#kagglechallenge #ai #python #machinelearning

4 min read

Yaman Kavishwar

Oct 9

AI-Native Software Development: Why Bolted-On AI Fails and What Building AI-First Actually Looks Like

#ai #softwareengineering #architecture #machinelearning

7 min read

Daniel Sam Pete Thiyagu

Oct 8

Your LLM Types One Token at a Time. It Doesn't Have To.

#ai #llm #machinelearning #programming

5 min read

Anirudh Sahu

Oct 8

When does an agent beat RAG? We benchmarked three pipelines on a TigerGraph knowledge graph

#ai #machinelearning #rag

4 min read

Kaggle Benchmarking Challenge Submission

Sigireddy Viswesh

Oct 8

I Built a World With Rules. Then I Changed Them.

#devchallenge #kagglechallenge #ai #machinelearning

6 min read

Jean-Luc Martel

Oct 8

The data engineering reality of GNNs in production

#dataengineering #machinelearning #mlops #datascience

2 min read

Kaggle Benchmarking Challenge Submission

Onkar Singh Pawar

Oct 8

TrustBoundary Bench: when JSON formatting masquerades as an AI security failure

#kagglechallenge #devchallenge #ai #machinelearning

4 min read

Kate

Oct 8

Why my from-scratch Japanese LLM says "That sounds tough" to good news

#machinelearning #llm #python #japanese

7 min read

Parth Maniar

Oct 8

Fine-tuning EfficientNetB0 for 104 flower classes: validation vs held-out test scores, honestly

#machinelearning #python #deeplearning

2 min read

Parth Maniar

Oct 8

Promotion-aware retail demand forecasting: what worked and what I can't claim

#machinelearning #python #datascience

2 min read

Maksim Ilin

Oct 8

How I built Dantiva and AONETHA: one sentence in, a video out, and the first paying customers

#showdev #ai #startup #machinelearning

2 min read

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