Building and Evaluating a Company Research Agent

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  • เผยแพร่เมื่อ 24 ม.ค. 2025

ความคิดเห็น • 13

  • @smalyu
    @smalyu 14 วันที่ผ่านมา +7

    At 13:40, there’s an important point to consider: with structured output, LLMs generate data strictly in the order defined by the schema. In this case, score comes before reason, which can reduce accuracy because the model is forced to assign a numerical score first and only then justify it with a reason. This approach limits the model’s ability to evaluate thoroughly. Reversing the order, so the model generates its reasoning (reason) first and then derives the score (score) based on that reasoning, would likely result in more accurate evaluations.

  • @austinsand8163
    @austinsand8163 14 วันที่ผ่านมา +1

    Thank you for including the example of an evaluation tool for this, it was really helpful to see and to be reminded of the importance of that cycle.

  • @albertgilopez-ytt
    @albertgilopez-ytt 14 วันที่ผ่านมา +1

    Thank you for sharing this amazing content! 🤓

  • @AlexJohnson-g4n
    @AlexJohnson-g4n 15 วันที่ผ่านมา

    Great resource for enriching data using AI. Tavily is powerful for company research. Looking forward to its evolution.

  • @anshultibrewal5226
    @anshultibrewal5226 10 วันที่ผ่านมา

    This is a really good video! Thanks for teaching this concept

  • @olwiba
    @olwiba 15 วันที่ผ่านมา

    Great video, thanks for sharing!

  • @fpingham
    @fpingham 15 วันที่ผ่านมา

    Fantastic Lance!!

  • @pavellegkodymov4295
    @pavellegkodymov4295 9 วันที่ผ่านมา

    Great, thanks! For evaluation, where do expected values are coming from? From a raw initial collected text?

  • @dmytrobilyi14
    @dmytrobilyi14 8 วันที่ผ่านมา

    Please, help with this problem "TypeError: No synchronous function provided to "research_company".Either initialize with a synchronous function or invoke via the async API (ainvoke, astream, etc.)"

  • @developer-h6e
    @developer-h6e 9 วันที่ผ่านมา

    Any idea for one that helps searxh for scholarships, in specific site like .edu etc custome one so that result are only those. Then searxh in result pages looking if i meet criteria , amount, deadline, etx. That would really help.

  • @RohanKumar-vx5sb
    @RohanKumar-vx5sb 15 วันที่ผ่านมา

    wow moving at ligtening speed

  • @kandukuriadityakumar771
    @kandukuriadityakumar771 2 วันที่ผ่านมา

    Please create an agentic ai application with langchain, it will be more helpful.