GPQA Diamond: Measuring Expert-Level Scientific Reasoning in AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
LLMS
-

5 Pillars of Modern AI You Must Master
By
–
The 5 Pillars of Modern #AI You Must Master
by @Khulood_Almani #LLM #AgenticAI #GenerativeAI #AIAgents -

Building Searchable AI Knowledge Base with OpenRouter Llama
By
–
How to Build a Fully Searchable AI Knowledge Base with OpenRouter, and Llama! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
-

Claude and GPT-5.5 Achieve SOTA with Stanford Agent Framework
By
–
Claude Mythos and GPT-5.5, Stanford's Agent Framework Achieves SOTA! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
-
GPT 5.5 Codex Rate Limits Reset Announcement
By
–
Rate limits RESET! Vibes are through the roof with GPT 5.5 in Codex, now you can enjoy codex even more 😉
-
LiteLLM Fixes Bug with Recent Pull Request Merge
By
–
Looks like they recently landed a PR fixing that https://
github.com/BerriAI/litell
m/pull/26157
… -
Talkie: New Vintage Language Model Trained on Historical Pre-1931 English
By
–
Some notes on talkie, a new "vintage language model" from a team including Alec Radford (yes, that Alec Radford) "trained on 260B tokens of historical pre-1931 English text"
-

Conductor Framework Orchestrates AI Agents Using Natural Language
By
–
Learning to Orchestrate Agents in Natural Language with the Conductor Fugu Blog: https://
sakana.ai/fugu-beta
Paper: https://
arxiv.org/abs/2512.04388 -

OpenAI’s Realtime API Demonstrates Fast Speech Recognition and Function Calling
By
–
The Realtime API is fast.
— Romain Huet (@romainhuet) 28 avril 2026
This demo by @jxnlco is running at real speed! No computer use, just realtime speech + function calling.
The model is listening, deciding when to call functions to update state, and yes, it doesn’t always have to talk back! https://t.co/2cK4jzI7rIThe Realtime API is fast. This demo by @jxnlco is running at real speed! No computer use, just realtime speech + function calling. The model is listening, deciding when to call functions to update state, and yes, it doesn’t always have to talk back!
-
DeepSeek v4 Now Supports Fill-in-the-Middle Capability
By
–
Also the new @deepseek_ai v4 supports FIM now! 😀 (Requires using the beta header.)
