NEW: Elements of AI Agents. Our first text-based AI course. If you are looking for an entry point to building AI Agents, check it out now. FREE to enroll now. (bookmark it) Audio available so you can listen on the go. Enroll here: https://
academy.dair.ai/courses/elemen
ts-of-ai-agents
… A lot more to
AGENTS
-
Free AI Agents Course Now Available for Enrollment
By
–
-
Macrohard or Digital Optimus: joint xAI-Tesla project with Grok as conductor
By
–
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI. Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of
-
User Wants AI Agents to Autonomously Create OpenAI Accounts
By
–
will test ty. i actually want my agents to go and sign up for openai accounts themselves
-
Sourcegraph’s Influence on Agent Labs Development
By
–
kinda like how something clearly was in the water at @sourcegraph and it spawned not one but TWO agent labs: @ampcode and whatever it is @steve_yegge ends up cooking
-
Databricks Acquires Quotient AI to Enhance Agent Evaluation
By
–
Databricks is acquiring Quotient AI to strengthen the agent evaluation and reinforcement learning capabilities in Genie, Genie Code, and Agent Bricks so customers get more reliable AI agents in production. Databricks already provides powerful tools for evaluating and improving
-
Self-Evolving Agent Skills: Advanced AI Autonomy Research
By
–
Self-evolving agent skills. Great paper on the topic.
-
Reasoning-Aware Retrieval Enhances Deep Research Agent Performance
By
–
Reasoning-Aware Retrieval for Deep Research Agents Deep research agents generate explicit reasoning before every search call. These reasoning traces encode rich signals about search intent and problem-solving context. Yet no existing retriever learns to exploit them
-
New Multi-Agent AI Systems Design Book Released by Packt
By
–
New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI -
New Packt Release on Agentic Architectural Patterns for Multi-Agent Systems
By
–
New release from @PacktDataML at http://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" Contents:
GenAI in the Enterprise: Landscape, -
Generative AI with Python: Developer’s Guide to Advanced LLM Technologies
By
–
“Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems” Available at https://
amzn.to/4sa1MiY