podcast discussing how F'inn is using AI

Release of the o1 model series is the best attempt to mimic our System 2 thinking to date, allowing the potential for advanced reasoning

The synthetic respondents, compared to data from humans are identical. QuantifAI reduces the need for extensive data collection of humans.

it will be used to take the place of the labor-intensive repetitive tasks that lead to large legal bills

Llama allows developers to build and fine-tune model for coding, summarization or role-play, creating surges in natural language processing

Pursuing System 2 capabilities in AI will expand practical use of AI tech and I think deepen our understanding of our own cognition

LLM plus search can find relevant web pages, understand the context, extract key information, and present it in a coherent, tailored manner

GRAIG benchmark provides a view of LLMs using a wider range factors, with traditional measures like reasoning and novel aspects like humor

Gen AI can make original, unseen outputs, transforming our business by helping us work faster and smarter.

Using Python with LLMs unlocks applications across industries, significantly enhancing their utility in performing analysis & insights

Finding common measures for developers to evaluate their AGI models, share their findings, and collaborate on next steps towards AGI.

The F'inn-trained Llama 2-70B LLM better captures the rich variety of human expressions than even GPT-4