Kevin ND @kevin94able
I Trek , I Trade , I Hike , I Build , I Run India Joined July 2014-
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Kevin ND retweeted
Top 20 #AIAgent Concepts You Should Know by @bytebytego #LLM #GenAI #MachineLearning #ArtificialIntelligence #ML #MI cc: @kalydeoo @labordeolivier @demishassabis
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Kevin ND retweeted
Introducing Perplexity Search API We've built a search index of billions of webpages to provide real-time, quality information from the web. Now developers have access to the full power of our index, providing the most accurate results in milliseconds. perplexity.ai/hub/blog/intro…
Kevin ND retweeted
What Is Context Engineering in #AI? Techniques, Use Cases, and Why It Matters buff.ly/1YKFAfq v/ @Marktechpost Cc @data_nerd @jblefevre60 @BroadenView @timo_vi @Ym78200 @mvollmer1 @Khulood_Almani
Kevin ND retweeted
🚨WANT TO BECOME A GENERATIVE AI DATA SCIENTIST IN 2025 ($200,000 career)? Discover how I built an AI Customer Segmentation Agent with Python: - Scikit Learn - K-Means - LangChain - LangGraph - OpenAI 👉Register here (500 seats): learn.business-science.io/ai-register
Kevin ND retweeted
Day 2: Document chunking for my AI Agent ✅ from @Al_Grigor ‘s 7 day AI agents crash course 3 chunking methods: 1️⃣ Simple sliding window 2️⃣ Section-based splitting 3️⃣ AI-Powered chunking Here’s my repo - github.com/salmantec/AI-A…
Kevin ND retweeted
This guy literally shared a step-by-step roadmap to build your first AI agent, and it's absolute 🔥
Kevin ND retweeted
Imagine your LLM browsing the web like a real user: opening tabs, clicking buttons, extracting structured data. That’s what @browserbasehq's new MCP delivers: it turns your models into full browser agents. Best part? It’s 100% free and open source! 🤯 Links + quick dive 🧵 ↓
Kevin ND retweeted
A girl at my gym approached me after her workout, clearly annoyed. "I've been watching and copying your entire routine for weeks, but I'm not seeing the same improvements you are!" I explained, "You can't just mimic what I do - you need to understand which exercises deserve…
Kevin ND retweeted
I just found out MIT Press released a free Deep Learning fundamentals book with theory, code, and slides. Learning these fundamentals is key if you want to get serious with AI. The book includes DL math, training techniques, CNNs, graph neural nets, and transformers.
Kevin ND retweeted
Techniques I’d master if I wanted to make LLMs faster + cheaper. Bookmark this. 1.LoRA 2.Quantization 3.Pruning 4.Distillation 5.Weight Sharing 6.Flash Attention 7.KV-Cache Compression 8.Sparse MoE 9.Gradient Checkpointing 10.Mixed Precision Training 11.Parameter-Efficient…
Kevin ND retweeted
You're in a ML Engineer interview at Meta, and the interviewer asks: "Why does RL work better than supervised learning for LLMs?" Here's how you answer:
Kevin ND retweeted
Machine learning is not just statistics and this blog by @TivadarDanka nails it. There is statistics, probability, and ML. The intersection is very rich, so they are confused with each other. Read this if you want to learn the nuance.
Kevin ND retweeted
MCP is extremely underrated! It's crazy to me that most devs and teams are not taking advantage of MCP. I have been using MCP to make my prompts, memory, and context portable. I believe this is the ultimate application of MCP. Context is king; you really want complete control…
Kevin ND retweeted
math/statistics ↓ python ↓ pandas ↓ numpy ↓ matplotlib ↓ mysql ↓ scikit learn ↓ xgboost ↓ pytorch ↓ transformers ↓ sbert ↓ fastapi ↓ dvc ↓ mlflow ↓ pyspark ↓ docker ↓ airflow ↓ ultralytics ↓ spacy ↓ opencv ↓ langchain ↓ qdrant congrats! ur now a full stack…
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