Google AI Research team has brought a production shift in Voice Search by introducing Speech-to-Retrieval (S2R). S2R maps a spoken […]
Category: Staff
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 […]
A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning
In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a […]
Meet OpenTSLM: A Family of Time-Series Language Models (TSLMs) Revolutionizing Medical Time-Series Analysis
A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and […]
Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token
How much capability can a sparse 8.3B-parameter MoE with a ~1.5B active path deliver on your phone without blowing latency […]
Meta Superintelligence Labs’ MetaEmbed Rethinks Multimodal Embeddings and Enables Test-Time Scaling with Flexible Late Interaction
What if you could tune multimodal retrieval at serve time—trading accuracy, latency, and index size—simply by choosing how many learnable […]
Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning
TL;DR: A team of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM performance […]
What are ‘Computer-Use Agents’? From Web to OS—A Technical Explainer
TL;DR: Computer-use agents are VLM-driven UI agents that act like users on unmodified software. Baselines on OSWorld started at 12.24% […]