Meta’s Gaia2 Test of AI Agents Real World Readiness
Meta’s Gaia2 benchmark is redefining AI evaluation. It assesses agents’ real-world readiness by testing adaptability,
ADaSci Expert
Sachin Tripathi
Sachin Tripathi is the Manager of AI Research at AIM, with over a decade of experience in AI and Machine Learning. An expert in generative AI and large language models (LLMs), Sachin excels in education, delivering effective training programs. His expertise also includes programming, big data analytics, and cybersecurity. Known for simplifying complex concepts, Sachin is a leading figure in AI education and professional development.
A Deep Dive into Open-Source AI Researcher Tongyi DeepResearch
What if an open-source AI agent could rival proprietary giants like OpenAI in complex web-based
Hands-On Guide on Teable Turning Data into Action
Teable is an AI-powered database agent that transforms raw data into insights, workflows, and apps,
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Unlock On-Device AI through Google’s EmbeddingGemma
Google’s new on-device AI model, EmbeddingGemma, for RAG and semantic search.
Information Extraction through Google’s LangExtract
Google’s LangExtract, a Gemini-powered Python library for extracting structured, grounded information.
A Practitioner’s Guide to Agent Communication Protocol (ACP)
IBM’s Agent Communication Protocol (ACP) is an open standard for seamless agent-to-agent communication.
Building Agentic AI Applications using OpenAI Agents SDK
OpenAI’s Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
Observing and Tracing Multi-Modal Multi-Agent Systems through Portkey
Portkey enables observability and tracing in multi-modal, multi-agent systems for enhanced understanding and development.
A Practioner’s Guide to PydanticAI Agents
PydanticAI Agents leverage Pydantic’s validation to build reliable, type-safe AI decision-making systems.
A Practitioner’s Guide to Nexus – A Scalable Multi-Agent Framework
Nexus is a lightweight Python framework for building scalable, reusable LLM-based multi-agent systems.
Mixture-of-Mamba for Enhancing Multi-Modal State Space Models
Mixture-of-Mamba enhances State Space Models for efficient multi-modal data processing across text, images, and speech.
How DeepSearch Accelerates Question-Answering in LLMs?
DeepSearch revolutionizes question-answering in LLMs, enhancing precision, completeness, and efficiency in information retrieval.
Intelligent Document Processing with No-Code LLM Platform Unstract
Unstract automates document processing with AI, reducing manual effort, errors, and costs.
