Really honored to be on @vulture
's list of books to read in May (alongside the inimitable Ocean Vuong).
"Startling and intensely researched…an essential account of how OpenAI and ChatGPT came to be and the catastrophic places they will likely take us."
LLMS
-
Karen Hao’s Book Featured in Vulture’s May Reading List
By
–
-

AI at the Crossroads: GPT-4 and the Future of Human-Like Intelligence
By
–
New on the Blog: AI at a Crossroads: GPT-4, The Turing Test, and the Race for Human-Like Intelligence Stay ahead in the ever-evolving world of Digital Transformation. This article explores key insights into emerging technologies and their impact on today's business
-
Storm AI Model Research Performance Comparison
By
–
Storm > ChatGPT, Gemini, and Claude In research it ranks above all these AI chatbots.
-
Model Pretraining and Post-Training Engineering Role
By
–
The job will be related with model pretraining (of existing and new arch), post training and some downstream tasks, other than merely doing some fancy paper oriented research.
-
ChatGPT Misuse: Treating AI Like Search Engines
By
–
Since some folks are confused, it is when folks ONLY use ChatGPT like it’s Google. It’s when they spin up a new thread, type “cast of the movie avatar?”, get the answer, rinse, repeat. I’ve had countless people show me their ChatGPT history – I open the threads…there’s no
-
Ultimate AI Agents Cheat Sheet for 2025
By
–
The Ultimate AI Agents Cheat sheet You Need in 2025!#ArtificialIntelligence #AI #RAG #AgenticAI #AIagentInnovation #AIAgents #LLMs #LLM #GenerativeAI #GenAI #technology #TechRevolution #tech #Engineering
— Amitav Bhattacharjee (@bamitav) 2 mai 2025
@fogle_shane @KanezaDiane @AlbertoEMachado @LavaletteAstrid @Eli_Krumova… pic.twitter.com/eKvGp63IP7The Ultimate AI Agents Cheat sheet You Need in 2025! #ArtificialIntelligence #AI #RAG #AgenticAI #AIagentInnovation #AIAgents #LLMs #LLM #GenerativeAI #GenAI #technology #TechRevolution #tech #Engineering @fogle_shane @KanezaDiane @AlbertoEMachado @LavaletteAstrid @Eli_Krumova
-
LLMs Will Entirely Replace Search Functionality
By
–
LLMs are going to entirely eat that search, FWIW. (To my great edification, as I do that constantly for written and audio artifacts.)
-

DevOps Challenges: LLM Automation and Cross-Service Integration
By
–
so fun!! 😀 The biggest issue by far is the devops part. Services have to inter-operate and allow autonomy. I don't want to follow these instructions manually, I want my LLM to do everything. (And I don't want to run locally because I want to access on iPhone on the go.)
-

Scaling LLM-Powered Systems: Enterprise AI Deployment Challenges
By
–
.
@DipendraMisra and Alnur Ali explore the challenges of applying AI in enterprise environments and the tools that are helping to bridge the gap between cutting-edge research and real-world deployment. “One of the biggest challenges in making LLM-powered systems real is scale, -

RAG vs AI Agents vs Agentic RAG: Comprehensive Comparison
By
–
Comparative Analysis – RAG vs. AI Agents vs. Agentic RAG #AIAgents #AgenticAI #GenAI #AgenticRAG #GenerativeAI #ArtificialIntelligence #AI @mvollmer1 @enilev @anijov @CatherineAdenle @FmFrancoise @AkwyZ @avrohomg @jblefevre60 @BetaMoroney @gvalan @Kevin_ODonovan @CurieuxExplorer