Anthropic released Claude Haiku 4.5, a latency-optimized “small” model that delivers similar levels of coding performance to Claude Sonnet 4 […]
Category: agentic AI
Meta AI’s ‘Early Experience’ Trains Language Agents without Rewards—and Outperforms Imitation Learning
How would your agent stack change if a policy could train purely from its own outcome-grounded rollouts—no rewards, no demos—yet […]
Andrej Karpathy Releases ‘nanochat’: A Minimal, End-to-End ChatGPT-Style Pipeline You Can Train in ~4 Hours for ~$100
Andrej Karpathy has open-sourced nanochat, a compact, dependency-light codebase that implements a full ChatGPT-style stack—from tokenizer training to web UI […]
7 LLM Generation Parameters—What They Do and How to Tune Them?
Tuning LLM outputs is largely a decoding problem: you shape the model’s next-token distribution with a handful of sampling controls—max […]
ServiceNow AI Research Releases DRBench, a Realistic Enterprise Deep-Research Benchmark
ServiceNow Research has released DRBench, a benchmark and runnable environment to evaluate “deep research” agents on open-ended enterprise tasks that […]
Meta’s ARE + Gaia2 Set a New Bar for AI Agent Evaluation under Asynchronous, Event-Driven Conditions
Meta AI has introduced Agents Research Environments (ARE), a modular simulation stack for creating and running agent tasks, and Gaia2, […]
A Coding Implementation of Secure AI Agent with Self-Auditing Guardrails, PII Redaction, and Safe Tool Access in Python
In this tutorial, we explore how to secure AI agents in practical, hands-on ways using Python. We focus on building […]
5 Most Popular Agentic AI Design Patterns Every AI Engineer Should Know
As AI agents evolve beyond simple chatbots, new design patterns have emerged to make them more capable, adaptable, and intelligent. […]
Sentient AI Releases ROMA: An Open-Source and AGI Focused Meta-Agent Framework for Building AI Agents with Hierarchical Task Execution
Sentient AI has released ROMA (Recursive Open Meta-Agent), an open-source meta-agent framework for building high-performance multi-agent systems. ROMA structures agentic […]
Google Open-Sources an MCP Server for the Google Ads API, Bringing LLM-Native Access to Ads Data
Google has open-sourced a Model Context Protocol (MCP) server that exposes read-only access to the Google Ads API for agentic […]