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Kevin ND

@kevin94able

I Trek , I Trade , I Hike , I Build , I Run

Kevin ND reposted

I just love Hugging Face. Their new 200+ page Training Playbook covers everything: training frameworks, model architecture, data curation, pre/mid/post-training, eval, how GPUs work, latest research, and ablations. Packed with practical wisdom. I read it like a novel.

Yuchenj_UW's tweet image. I just love Hugging Face.

Their new 200+ page Training Playbook covers everything: training frameworks, model architecture, data curation, pre/mid/post-training, eval, how GPUs work, latest research, and ablations.

Packed with practical wisdom. I read it like a novel.

Kevin ND reposted

Here's my beginner's lecture series for RAG, Vector Database, Agent, and Multi-Agents: Download slides: 👇 * RAG: byhand.ai/p/beginners-gu… * Agents: byhand.ai/p/beginners-gu… * Vector Database: byhand.ai/p/beginners-gu… * Multi-Agents: byhand.ai/p/beginners-gu… --- 100% original,…

ProfTomYeh's tweet image. Here's my beginner's lecture series for RAG, Vector Database, Agent, and Multi-Agents: Download slides: 👇
* RAG: byhand.ai/p/beginners-gu… 
* Agents: byhand.ai/p/beginners-gu… 
* Vector Database: byhand.ai/p/beginners-gu… 
* Multi-Agents: byhand.ai/p/beginners-gu… 

---
100% original,…

Kevin ND reposted

🚨 Google DeepMind Just Simplified RAG with Gemini API. TLDR: - Google DeepMind just introduced the File Search Tool, a fully managed RAG system built directly into the Gemini API. - It handles storage, chunking, embedding, and retrieval automatically, removing the need for…

You can read more in our launch blog post: blog.google/technology/dev…, great work @solovyev_i @_philschmid and others! Doing RAG has historically been a pain to setup or expensive, the question we asked ourselves when we created this was how to make it painless and cheaper!



Kevin ND reposted

she actually summarized everything you must know from the “AI Engineering” book in 76 minutes. if you don’t got the time to read the book, you need to watch this. foundational models, evaluation, prompt engineering, RAG, memory, fine-tuning and many more. great starting point.

Hesamation's tweet image. she actually summarized everything you must know from the “AI Engineering” book in 76 minutes. if you don’t got the time to read the book, you need to watch this.

foundational models, evaluation, prompt engineering, RAG, memory, fine-tuning and many more. great starting point.

Kevin ND reposted

Anthropic just posted another banger guide. This one is on building more efficient agents to handle more tools and efficient token usage. This is a must-read for AI devs! (bookmark it) It helps with three major issues in AI agent tool calling: token costs, latency, and tool…

omarsar0's tweet image. Anthropic just posted another banger guide.

This one is on building more efficient agents to handle more tools and efficient token usage.

This is a must-read for AI devs!

(bookmark it)

It helps with three major issues in AI agent tool calling: token costs, latency, and tool…

Kevin ND reposted

Learn Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) , the trio shaping the future. AI is not replacing you - someone who knows AI will. Start learning now. Here is full AI, ML, NLP Notes! Absolutely free for first 500 people To…

Ai_Vaidehi's tweet image. Learn Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) , the trio shaping the future.

AI is not replacing you - someone who knows AI will. Start learning now.

Here is full AI, ML, NLP Notes! 

Absolutely free for first 500 people

To…
Ai_Vaidehi's tweet image. Learn Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) , the trio shaping the future.

AI is not replacing you - someone who knows AI will. Start learning now.

Here is full AI, ML, NLP Notes! 

Absolutely free for first 500 people

To…

Kevin ND reposted

Skills That Pay in the AI Era (2025) 🔥🔥 💻 AI/ML: Python + PyTorch/TensorFlow/Hugging Face 🧠 AI Stack: LangChain, RAG, Vector DBs (Pinecone, Weaviate, FAISS) 🌐 Full Stack: React/Next.js + Node/Go/Rust 🔗 APIs: GraphQL, gRPC, tRPC 🗄️ Databases: PostgreSQL, MongoDB, Redis ⚙️…


Kevin ND reposted

🏦 AI Bank Statement Analyzer (Made by the LangChain Community) Transform bank statements into queryable financial insights using AI. This system combines YOLO and LangChain's RAG to enable natural language analysis of your personal finances. Check it out here ⚡…

LangChainAI's tweet image. 🏦 AI Bank Statement Analyzer

(Made by the LangChain Community)

Transform bank statements into queryable financial insights using AI. This system combines YOLO and LangChain's RAG to enable natural language analysis of your personal finances.

Check it out here ⚡…

Kevin ND reposted

The next edition of the most popular Event-Driven Architecture training in Go has just started! Why are 1,300+ developers ahead of you in Event-Driven Architecture? While you watched videos, they built production-ready backends 🔥 threedots.tech/event-driven/?…

threedots.tech

Go Event-Driven Training

Learn to build extremely scalable and resilient event-driven backend systems in Go. Go Event-Driven provides hands-on training with real-world projects to master asynchronous processing, message...


Kevin ND reposted

step-by-step LLM Engineering Projects each project = one concept learned the hard (i.e. real) way Tokenization & Embeddings > build byte-pair encoder + train your own subword vocab > write a “token visualizer” to map words/chunks to IDs > one-hot vs learned-embedding: plot…


Kevin ND reposted

First Principles Approach to MLOps! MadeWithML is the best place to learn how to combine AI/ML with software engineering to build production-grade solutions. These fundamentals are directly applicable to LLMOps as well. 100% free and open-source.

_avichawla's tweet image. First Principles Approach to MLOps!

MadeWithML is the best place to learn how to combine AI/ML with software engineering to build production-grade solutions.

These fundamentals are directly applicable to LLMOps as well.

100% free and open-source.

Kevin ND reposted

A must-read paper → Fundamentals of Building Autonomous LLM Agents Reviews the core cognitive subsystems that make up autonomous LLM-powered agents, including: - Perception - Reasoning & planning: CoT, MCTS, ReAct, Tree-of-Thought (ToT) techniques - Long- & short-term memory -…

TheTuringPost's tweet image. A must-read paper → Fundamentals of Building Autonomous LLM Agents

Reviews the core cognitive subsystems that make up autonomous LLM-powered agents, including:

- Perception
- Reasoning & planning: CoT, MCTS, ReAct, Tree-of-Thought (ToT) techniques
- Long- & short-term memory
-…

Kevin ND reposted

Competitor research takes me 2 minutes now. Built a scraper that monitors websites, tracks price changes, and extracts product data automatically. Claude AI pulls contact info, pricing, and company details straight into Google Sheets. Used to spend 10-15 hours monthly doing…

setu_ai_expert's tweet image. Competitor research takes me 2 minutes now.

Built a scraper that monitors websites, tracks price changes, and extracts product data automatically.

Claude AI pulls contact info, pricing, and company details straight into Google Sheets.

Used to spend 10-15 hours monthly doing…

Kevin ND reposted

When a woman tells you “I know you’ll find someone great,” she’s already emotionally gone, brother. That line isn’t comfort, it’s closure disguised as kindness. It’s her way of exiting without guilt, passing you a sympathy trophy while she walks away clean. Don’t overthink it,…


Kevin ND reposted

holy shit... Hugging Face cooked again! 🔥 they just dropped a free blog (BOOK) that covers the no-bs reality of building SOTA models. i haven't seen any lab/researcher go into the real decisions behind the LLM research and its nuances. this is literally a gem. Syllabus: →…

Hesamation's tweet image. holy shit... Hugging Face cooked again! 🔥

they just dropped a free blog (BOOK) that covers the no-bs reality of building SOTA models. i haven't seen any lab/researcher go into the real decisions behind the LLM research and its nuances. this is literally a gem.

Syllabus:
→…

Kevin ND reposted

I’m currently deploying AI agents to optimize logistical processes (think route planning, inventory management, and real‑time decision‑making). This requires more than a chatbot; it demands autonomous systems that can plan, reason, and act across multiple tools and data sources.…

DanKornas's tweet image. I’m currently deploying AI agents to optimize logistical processes (think route planning, inventory management, and real‑time decision‑making).

This requires more than a chatbot; it demands autonomous systems that can plan, reason, and act across multiple tools and data sources.…

Kevin ND reposted

Harvard just dropped a book on ~ML systems engineering~ and it's 100% free in PDF (it will be published in print by MIT Press). systems engineering is the hot skill companies die to see in candidates, but few books explain it in the context of ML. What it covers: → ML system…

Hesamation's tweet image. Harvard just dropped a book on ~ML systems engineering~ and it's 100% free in PDF (it will be published in print by MIT Press).

systems engineering is the hot skill companies die to see in candidates, but few books explain it in the context of ML.

What it covers:
→ ML system…

Kevin ND reposted

This guy literally shows how to go from zero to AI engineer for free

neatprompts's tweet image. This guy literally shows how to go from zero to AI engineer for free

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