
Sign up to save your podcasts
Or
This episode delves into the cutting-edge advancements in artificial intelligence, exploring how AI agents are revolutionising research by automating time-consuming tasks. Learn about agentic research systems like STORM that can conduct research and generate outputs rapidly. We also examine the Model Context Protocol (MCP), a new standard for simplifying the integration of Large Language Model (LLM) agents with external tools, making AI capabilities more accessible across different applications. Discover strategies for modernizing enterprise applications using automation and generative AI to overcome technical debt and embrace cloud technologies. Finally, we discuss key techniques for optimizing AI models, including Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering, to enhance their knowledge and performance.
This episode delves into the cutting-edge advancements in artificial intelligence, exploring how AI agents are revolutionising research by automating time-consuming tasks. Learn about agentic research systems like STORM that can conduct research and generate outputs rapidly. We also examine the Model Context Protocol (MCP), a new standard for simplifying the integration of Large Language Model (LLM) agents with external tools, making AI capabilities more accessible across different applications. Discover strategies for modernizing enterprise applications using automation and generative AI to overcome technical debt and embrace cloud technologies. Finally, we discuss key techniques for optimizing AI models, including Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering, to enhance their knowledge and performance.