Master Any #LLM
by @ingliguori #GenerativeAI #ArtificialIntelligence #MachineLearning #MI
GENERATIVE AI
-
Master Any LLM: Comprehensive Guide to Large Language Models
By
–
-
US AI Capability Edge and Public Trust Paradox
By
–
Model capabilities will always disperse, that is why it is so important to get an edge (while still possible); but also why it is essential not to lose public trust. The biggest potential own goal: the US develops (and funds) the capability, but cannot use it for transformation
-
Make No Mistakes: Key Prompt Engineering Strategy
By
–
"make no mistakes" was the key prompt here tbh.
-
Apple Attention to Mamba Cross-Architecture Distillation Technique
By
–
NEW paper from Apple. Interesting idea: "Attention to Mamba". The paper introduces a two-stage recipe for cross-architecture distillation from Transformers into Mamba. Naive distillation collapses teacher performance. Their trick: first distill the transformer into a
-
Pi Uses Codex App Server OpenAI Completions Endpoint
By
–
Pi uses Codex App Server, I believe. By "regular" I mean the OpenAI completions REST endpoint.
-
Building Web Apps and Games with Codex Using Natural Language
By
–
incredibly fun to build webapps and games with codex, entirely with natural language https://t.co/KPmzWArgHg
— Greg Brockman (@gdb) 18 avril 2026incredibly fun to build webapps and games with codex, entirely with natural language
-
The AI Flood is Coming: Major Transformation Ahead
By
–
Yeah so many people don’t really see what is happening. Had the same argument. The flood is coming. 🙂
-
Grok 4.4 and 4.5 Release Timeline Announced
By
–
Supplemental training has been added to 4.3. Grok 4.4 will be twice the size (1T) with training data through early April. Probably ready for release in early May. Grok 4.5 will be 1.5T and hopefully out by late May.
-
ABC of AI Use Cases: Comprehensive Overview
By
–
ABC of #AI Use Cases
by @ingliguori #ArtificialIntelligence #MachineLearning #ML #DL