Available at http://
amzn.to/4l9lLKO This LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation systems. Working knowledge of Python and Java is
GENERATIVE AI
-
LLM book for Neo4j vector search and knowledge graphs
By
–
-
Practical Guide to Building LLM and RAG Apps with LangChain and Python
By
–
"Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python" Get your copy at http://
amzn.to/3MZZ9R5 Independently published: December 2025
Print length: 255 pages -
Book: Build a Large Language Model from Scratch by Raschka
By
–
<<💡Best Seller🚀>>
— Kirk Borne (@KirkDBorne) 15 juin 2026
Build a Large Language Model (From Scratch): https://t.co/vvahfx1VTv by @rasbt v/ @ManningBooks
—————#DataScience #DataScientist #MachineLearning #ML #DeepLearning #LLMs #AI #GenAI https://t.co/MbmiX2Olme pic.twitter.com/7My9FOhSJl<>
Build a Large Language Model (From Scratch): https://
amzn.to/3WYFNO5 by @rasbt v/ @ManningBooks —————
#DataScience #DataScientist #MachineLearning #ML #DeepLearning #LLMs #AI #GenAI -
Anthropic’s Mythos exploit: users can upgrade from Fable to stronger model
By
–
Anthropic makes Mythos, which is a more powerful model than Fable. There was a problem that let people get from the Fable model to the more powerful one, and that's going to play out this week.
-
Moonshot AI’s Kimi-K2.7-Code: open-source coding agent with 256K context
By
–
Moonshot AI just flipped cost vs. capability for coding agents – follow us for more AI tools updates, visit http://
futurepedia.io your leading AI tools directory. Moonshot’s Kimi‑K2.7‑Code is live and open‑source: an agentic MoE (~1T, 32B active) with 256K context + vision, -
LLaVA-OneVision-2 tokenizes video like codec, focusing on key moments
By
–
What if your AI could “see” video like a streaming codec—spending tokens only on the most important moments? Introducing LLaVA-OneVision-2 from Glint Lab, AIM for Health Lab, and MVP Lab. Their secret? Codec-stream tokenization: video is treated as a continuous bit-cost
-
American Restriction on Mythos and Fable 5 for Other Nations
By
–
Claude Mythos & Fable 5 Banned!
The United States has restricted the use of #Mythos and #Fable5 for other nations! https://
youtu.be/rJ1je5IdSTY?si
=l2yfjnio06k6ji-H
… via @YouTube #anthropic #cybersecurity #infosec #AI #databreach @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan -
User questions if ‘load-bearing’ is unique to Claude, not Codex
By
–
is load-bearing a Claude thing? Haven’t seen that on Codex. Maybe I don’t have enough load
-
LLM Wiki: future AI memory replaces retrieval with compilation
By
–
RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
Which AI model to trust for autonomous workflows?
By
–
AI AGENTS Which model would you trust for autonomous workflows today? Claude Opus 4.8 GPT-5.5 Qwen 3.7 Max GLM 5.1 Planning, tools, MCP, reasoning, multi-step execution… Which one are you actually using and why? #AIAgents #AgenticAI #LLM #GenAI