The Generative AI Podcast Tony Wan

With great power comes great responsibility. How do Open AI, Anthropic, and Meta implement safety and ethics? As large language models (LLMs) get larger, the potential for using them for nefarious purposes looms larger as well. Anthropic uses Constitutional AI, while OpenAI uses a model spec, combined with RLHF (Reinforcement Learning from Human Feedback). Not to be confused with ROFL (Rolling On the Floor Laughing). Tune into this episode to learn how leading AI companies use their Spidey po...

So what are notable Open Source Large Language models? In this episode, I cover Open Source models from Meta the parent company of Facebook, a French AI company called Mistral currently valued at $2B dollars, in addition to Microsoft and Apple. Not all Open Source models are equally open, so I’ll go into restrictions you’ll want to know before using one of these models for your company or startup. Please enjoy this episode.For more information, check out https://www.superprompt.fm There...

Why should you consider using an open source Large Language Model, and why are these models crucial to the generative AI ecosystem? In this episode, we'll explore why enterprises and entrepreneurs are turning to open source LLMs like Meta's Llama for their cost-effectiveness, control, privacy, and security benefits. We'll also tackle the hot topic of safety and ethics in the world of open source LLMs. Which poses a greater threat to humanity: Open Source or Closed Source (Proprietary) AI mode...

In this solo episode, we go beyond Google's Gemini and OpenAI's ChatGPT to take a look at Anthropic, a startup that made headlines after securing a $4 billion investment from Amazon. We'll also dive into the importance of AI industry benchmarks. Learn about LMSYS's Arena Elo and MMLU (Measuring Massive Multitask Language Understanding), including how these benchmarks are constructed and used to objectively evaluate the performance of large language models. Discover how benchmarks can he...

The recent spring updates and demos by both Google (Gemini) and OpenAI (GPT-4o) feature prominently their multimodal capabilities. In this episode, we discuss the advantages of multimodal AI versus models focused on specific modalities such as language. Via the example of chatCAT, a hypothetical AI that helps owners understand their cats, we explore multimodal’s promise for a more holistic understanding Please enjoy this episode.For more information, check out https://www.su...

Google recently announced, Gemini, a family of large-scale multimodal AI models: Nano, Pro, and Ultra. This podcast is a brief summary of Google's models, and the Open AI comparables e.g. GPT3, GPT4, and chatGPT. You can take Gemini for a spin at https://gemini.google.com. (Note: I am not sponsored by Google.) Long time listeners will probably notice a change to our theme music and intro. I hope you like it!For more information, check out https://www.superprompt.fm The...