In this episode, we explore how Replicate is breaking down barriers in AI development through its open-source platform. CEO Ben Firshman shares how Replicate enables developers without machine learning expertise to run AI models in the cloud.

Jeff Huber covers the evolution of vector databases in AI engineering, challenges common assumptions about RAG and shares insights from Chroma's journey.

In this episode of High Agency, we're joined by Surojit Chatterjee, former CPO of Coinbase and now CEO of Ema. Surojit unveils his audacious plan to create universal AI employees and revolutionize Fortune 1000 workforce.

Raz Nussbaum is a Senior Product Manager in AI at Gong — the leading AI platform for revenue teams. He is an absolute legend when it comes to building and scaling AI products that genuinely deliver value. In this episode, he opens up about what it takes to build successful AI products in an era where things change at lightning speed.

LiveKit CEO Russ d'Sa discusses the challenges and opportunities in building real-time communication infrastructure for AI applications, sharing insights from working with OpenAI

In this episode, we are speaking to Paras Jain, who is building the future of AI video generation at Genmo. He details why he chose academia over an offer from Tesla, and the research-minded approach that has lead to Genmo's rapid success.

In this episode, we sit down with Michael Royzen, CEO and co-founder of Phind. Michael shares insights from his journey in building the first LLM-based search engine for developers, the challenges of creating reliable AI models, and his vision for how AI will transform the work of developers in the near future.

Logan led developer relations at OpenAI before leading product on the Google AI Studio. He's been closer than anyone to developers building with LLMs and has seen behind the curtain at two frontier labs. In this week’s episode of the High Agency Podcast, Logan and I discuss the future trajectory of AI and share our insights on what AI builders can anticipate in the future.

I recently sat down with Bryan Bischof, Head of AI at Hex, to understand how Hex approaches evals and what lessons other teams can take from their experience.

An overview of evaluating LLM applications. The emerging evaluation framework, parallels to traditional software testing and some guidance on best practices.

An overview of the techniques that OpenAI recommends to get the best performance of your LLM applications. Covering best-practices in prompt engineering, retrieval-augmented generation (RAG) and fine-tuning.

We’re excited to be partnering with Stability AI, to build and release the first open-source large language model that can follow human instructions.

Fine-tuning GPT‑3 can make it faster, cheaper and more accurate. Humanloop makes it dramatically easier to do this, while aligning the model with the preferences of your users.