The Mistral Agents API enables developers to create smart, modular agents equipped with a wide range of capabilities. Key features include: Support for a variety of multimodal models, covering both text and image-based interactions. Conversation memory, allowing agents to retain…
Modern software engineering faces growing challenges in accurately retrieving and understanding code across diverse programming languages and large-scale codebases. Existing embedding models often struggle to capture the deep semantics of code, resulting in poor performance in tasks such as code…
Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don’t always reveal the gaps in their knowledge or areas where they’re uncertain. That problem can have huge consequences as AI systems are increasingly…
The growing adoption of open-source large language models such as Llama has introduced new integration challenges for teams previously relying on proprietary systems like OpenAI’s GPT or Anthropic’s Claude. While performance benchmarks for Llama are increasingly competitive, discrepancies in prompt…
Multimodal large language models (MLLMs) are designed to process and generate content across various modalities, including text, images, audio, and video. These models aim to understand and integrate information from different sources, enabling applications such as visual question answering, image…
In this tutorial, we demonstrate how to leverage ScrapeGraph’s powerful scraping tools in combination with Gemini AI to automate the collection, parsing, and analysis of competitor information. By using ScrapeGraph’s SmartScraperTool and MarkdownifyTool, users can extract detailed insights from product…
When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept — for example, diagramming a circuit might help make sense of how…
For weeks, the whiteboard in the lab was crowded with scribbles, diagrams, and chemical formulas. A research team across the Olivetti Group and the MIT Concrete Sustainability Hub (CSHub) was working intensely on a key problem: How can we reduce…
Vision-language models (VLMs) have become foundational components for multimodal AI systems, enabling autonomous agents to understand visual environments, reason over multimodal content, and interact with both digital and physical worlds. The significance of these capabilities has led to extensive research…
Every year, thousands of students take courses that teach them how to deploy artificial intelligence models that can help doctors diagnose disease and determine appropriate treatments. However, many of these courses omit a key element: training students to detect flaws…
