What is the Model Context Protocol (MCP)? The Model Context Protocol (MCP), introduced by Anthropic in November 2024, establishes a standardized, secure interface for AI models to interact with external tools—code repositories, databases, files, web…
In this tutorial, we’ll demonstrate how to enable function calling in Mistral Agents using the standard JSON schema format. By defining your function’s input parameters with a clear schema, you can make your custom tools seamlessly callable by the agent—enabling…
A major hurdle in using AI for genomics is the lack of interpretable, step-by-step reasoning from complex DNA data. While DNA foundation models excel at learning rich sequence patterns for tasks such as variant prediction and gene regulation, they often…
Multi-agent systems are becoming a critical development in artificial intelligence due to their ability to coordinate multiple large language models (LLMs) to solve complex problems. Instead of relying on a single model’s perspective, these systems distribute roles among agents, each…
Autoregressive image generation has been shaped by advances in sequential modeling, originally seen in natural language processing. This field focuses on generating images one token at a time, similar to how sentences are constructed in language models. The appeal of…
In this tutorial, we demonstrate how to combine the power of SerpAPI’s Google search capabilities with Google’s Gemini-1.5-Flash model to create an advanced, end-to-end research and analysis workflow within a Google Colab notebook. By defining an AdvancedSerpAPI Python class, users…
