An excellent technical guide on LLM post-raining covering SFT(supervised finetuning), RL rewards such as RLHF/human preferences, RLAIF/constitutional-AI, RLVR/verifiable outcomes, process-supervised and rubric rewards. Also covers common RL training algorithms from PPO, GRPO, and
MACHINE LEARNING
-
AI Objectives and Human Bias Mimicry
By
–
L'objectif d'une IA est de mimer ce que fait un humain. Les biais en font parti…
-
RGBD Post-Processing Limitations for Robot Hand Motion Training
By
–
Ah! Small world! I appreciate your suggestions on Justin’s talk! For your data, I worry that current methods for post- processing RGBD aren’t yet accurate enough to recover the detailed hand and object motions needed for robot training
-

Geoffrey Hinton Confirmed as AI Legend
By
–
i always suspected geoffrey hinton was an absolute legend
-
RenTech Algorithms Dominance in AI-Driven Investment Markets
By
–
It must feel so good to be a RenTech algorithm right now.
-
Building Declarative Data Pipelines with AI Analytics on Databricks
By
–
[Demo] Learn how to build a Lakeflow Declarative Pipeline on Databricks Free Edition using real-time flight data from OpenSky!
— Databricks (@databricks) 10 octobre 2025
See how to ingest billions of avionics events, build declarative pipelines, and apply AI-driven analytics with natural language queries for instant… pic.twitter.com/c0FmLWUMiq[Demo] Learn how to build a Lakeflow Declarative Pipeline on Databricks Free Edition using real-time flight data from OpenSky! See how to ingest billions of avionics events, build declarative pipelines, and apply AI-driven analytics with natural language queries for instant
-
Multi-Agent Systems in Enterprise Tool Use Architecture
By
–
Dive into the full breakdown, experiments, and architecture in our latest blog https://
snorkel.ai/blog/multi-age
nts-in-the-context-of-enterprise-tool-use/
…
#AI #AIAgents #MultiAgentSystems #EnterpriseAI #MachineLearning -

Smaller Models Gain Accuracy Through Multi-Agent Coordination Setup
By
–
In the switch to the multi-agent setup: Smaller models regained lost accuracy when configured as coordinated agents Long-context reasoning improved
-

GPT-5 Outperforms Mini and Nano in Multi-Agent Tool Tasks
By
–
Our team tested single- vs multi-agent setups using GPT-5, GPT-5-mini, and GPT-5-nano, using 10K+ tools across 30 domains. In the single-agent setup, GPT-5-mini and GPT-5-nano performance degrades with longer context and more reasoning, while GPT-5 remains remarkably consistent.
-

Teradata MCP Connector for Natural Language Data Analysis
By
–
3/🗄️ Teradata MCP @Teradata is an open source database management system for storing, managing and analyzing large volumes of data. With the MCP connector, you can query, analyse data with natural language.
→ View original post on X — @flowiseai, 2025-10-10 18:32 UTC
