Jason Liu, Co-founder of Instructor, discusses the evolution of recommendation frameworks with GPT-3 embeddings at Stitch Fix, the importance of function calling for structured outputs, optimizing workflows for model fine-tuning, the role of prompts in AI models, and exploring hiring practices and innovation in AI engineering.

Jungwon Byun and Andreas Stuhlmüller of Elicit discuss the evolution of AI tools, GPT models, workflow efficiency, Illicit for data extraction, systematic AI research, and company growth. They delve into collaboration, AI advancements, and mission-driven organization transitions.

Personal AI expert, Harrison Chase, explores AI UX trends, discusses Four Wars on NLW, delves into GPT-5 and LLM landscape, chats Groq GPUs, touches on AI Leadership at CapitalOne, and envisions the future of Personal AI in an engaging podcast conversation.

Sam Schillace, Deputy CTO of Microsoft, talks about AI Engineering, the AI Engineer World's Fair, GPT-4, and Microsoft's AI portfolio. They discuss the rise of AI Engineering, challenges in the industry, and Microsoft's influence in AI development. The podcast covers the collaboration at the World's Fair event and the focus on AI innovation and democratization.

David Luan shares insights on GPT-3 limitations. Discusses Google's AI journey. Adept's approach to building AI teammates. Trade-offs in AI systems. Leveraging synthetic data for AGI. Business-focused AI agents and robotics training.

From giving computers a voice to making them sing, this podcast episode delves into the evolution of TTS, the creation of music using transformer models, and the challenges of AI music generation. Guest Mikey Shulman discusses Suno's journey from speech to music, simplifying transformer models, user engagement on the platform, and experimenting with AI music generation across different genres.

The podcast covers topics like OpenAI Sora, Google Gemini, Groq Math, and top research trends. They discuss AI advancements, controversies, multimodality, and security automation tools. The hosts also touch on world models, AI data scientist tools, and the importance of learning in public.

Podcast features Soumith Chintala discussing open-source AI trust, GPU insights at Meta, and the significance of inclusive, feedback-driven technology advancements. The conversation also delves into the power of synthetic data in neural networks and the evolution of open-source AI models like Lama.

The podcast discusses the journey of Replicate from arXiv Vanity to Keepsake/Cog, challenges faced by researchers, Y Combinator experience, embracing open source models in ML, securing GPUs for AI startups, and the future role of AI in software engineering.

Guest Erik Bernhardsson, AI engineer and creator of Annoy vector database and Luigi workflow orchestration tool, discusses building open source tools at Spotify, starting a new startup, improving developer productivity, fine-tuning language models, and challenges of running a startup.