
Hands-on Guide to Multi-Agent Project Evaluation with Praison AI
Automated project evaluation pipeline using AI agents for fair scoring, PDF reports, and data visualization.”
Automated project evaluation pipeline using AI agents for fair scoring, PDF reports, and data visualization.”
PicDoc AI turns ideas into powerful visuals with ease. From text to diagrams and from
Explore StepWiser: generative judges using RL to boost LLM reasoning accuracy and explainability.
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Google’s new on-device AI model, EmbeddingGemma, for RAG and semantic search.
Google’s LangExtract, a Gemini-powered Python library for extracting structured, grounded information.
IBM’s Agent Communication Protocol (ACP) is an open standard for seamless agent-to-agent communication.
OpenAI’s Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
Portkey enables observability and tracing in multi-modal, multi-agent systems for enhanced understanding and development.
PydanticAI Agents leverage Pydantic’s validation to build reliable, type-safe AI decision-making systems.
Nexus is a lightweight Python framework for building scalable, reusable LLM-based multi-agent systems.
Mixture-of-Mamba enhances State Space Models for efficient multi-modal data processing across text, images, and speech.
DeepSearch revolutionizes question-answering in LLMs, enhancing precision, completeness, and efficiency in information retrieval.
Unstract automates document processing with AI, reducing manual effort, errors, and costs.
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