Dexa/Gradient Dissent - A Machine Learning Podcast

Published Dec 16, 2024

Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez

Join Joseph E. Gonzalez as he delves into the pioneering concepts of vibes-based evaluation in language models, the transformative journey of Chatbot Arena for community-driven feedback, and the potential of multi-agent systems and tool integration to reshape AI development and decision-making.

Episode Highlights

Topics covered

Questions from this episode

- Tell me something about artificial intelligence
  Asked by 128 people
- How is machine learning evolving?
  Asked by 35 people
- What's next in large language models (LLMs)?
  Asked by 34 people
- What are the most recent developments and trends in AI, large language models (LLMs), retrieval-augmented generation (RAG), etc., as discussed in the episode #159 - Inflection-2.5, Devin, OpenAI board update, SIMA, EU AI Act passed and the clip Cohere's Command R?
  Asked by 28 people
- How do you leverage different models in machine learning?
  Asked by 25 people
- What techniques are used with large language models (LLMs)?
  Asked by 23 people
- What are the next advancements in large language models (LLMs)?
  Asked by 22 people
- What's the latest news in generative AI?
  Asked by 15 people
- How does this AI work?
  Asked by 14 people
- What kind of products or apps will you see that combine large language models (LLMs) for software engineering?
  Asked by 13 people
- What is the best insight on prompt engineering and engaging large language models (LLMs)?
  Asked by 12 people
- How are prompts used in AI models?
  Asked by 10 people
- Why is openness important for artificial intelligence, as discussed in the episode DisTrO and the Quest for Community-Trained AI Models and the clip Open Source AI?
  Asked by 9 people
- Why is testing and listening important in the context of product development or marketing in the episode Insights from App Development to Content Creation | @LucasMontano | Beyond Coding Podcast #147 and the clip Mobile App Experiments?
  Asked by 7 people
- What are some non-obvious insights about the impact of multi-agent systems?
  Asked by 7 people

Episode Highlights

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