Hailuo AI released MiniMax-M1, a new SOTA model among open-source agentic use. MiniMax-M1 now also powers Minimax Chat
LLMS
-
Snorkel DaaS Elevates Enterprise AI With Expert Data Quality
By
–
Enterprise AI needs more than models, it needs expert data. Snorkel’s DaaS delivers: 1000+ domains (STEM → regulatory) Programmatic QC + audit trails 0–20% pass rates on frontier models Let’s raise the bar for what AI can really do. #AI #LLMs #SnorkelAI
-

Explore Amazing AI and LLM Books by Alto Valentina
By
–
Explore these amazing #AI #LLMs #GenAI books by @AltoValentina via @PacktDataML #ad Practical Generative AI with ChatGPT: https://
packtpub.com/en-us/product/
practical-generative-ai-with-chatgpt-9781836647850?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B31559
… Building LLM-Powered Applications: https://
amzn.to/4iNimjQ Modern Gen AI with ChatGPT and OpenAI Models: https://
amzn.to/4cmEm2U -
GPT-4.1 Base Model Powers New o4 Reasoner Release
By
–
They also suggested GPT-4.1 might be the base for the next generation reasoner, o4, expected to release soon. GPT-4.1 is significantly stronger than GPT-4o. On the GPQA benchmark, GPT-4.1 scores substantially higher (+18 pts).
-
O4 Model Performance Improvements Through Reinforcement Learning
By
–
With this stronger base, RL should see improved performance, meaning o4 will likely saturate GPQA and probably many other benchmarks that are susceptible to RL.
-
Trade-offs of Large Language Models in AI Training
By
–
An interesting point is that using very large base models like GPT-4.5 involves trade offs. Larger, slower, and more expensive models mean longer training loops, higher compute usage, and thus a reduced overall learning rate.
-

Reinforcement Learning Improves with Stronger Base Models Like GPT-4o
By
–
Reinforcement learning works better when using stronger base models. In their recent post, SemiAnalysis stated that o1 and o3 were trained with GPT-4o as the base, and the respective 'mini' versions were distillations of their larger models.
-

Vector Search for Practitioners with Elastic NLP Toolkit
By
–
Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, & security: https://
packtpub.com/en-us/product/
vector-search-for-practitioners-with-elastic-9781805121022?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B20870
… via @PacktDataML #ad
————
#DataScience #Analytics #DataScientist #MachineLearning #AI #VectorDB #RAG #LLMs #GenerativeAI #GenAI -
Hybrid evolutionary algorithms and current LLM limitations
By
–
That uses a hybrid evolutionary algorithm. It’s a nice approach but doesn’t really help with the current LLM problems
-

AI as a Solution to Belgian Linguistic Divisions
By
–
What if AI saved Belgium where politicians failed? No need to speak the same language anymore to build a common future. End of community quarrels, welcome neural translators. My latest article co-written with @dr_l_alexandre
