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Thought Leadership


Greg Robison
Sep 25, 20248 min read
Strawberry, Strawberry
Release of the o1 model series is the best attempt to mimic our System 2 thinking to date, allowing the potential for advanced reasoning
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Greg Robison
Sep 16, 20240 min read
AI Augmented Sample: Case Study
The synthetic respondents, compared to data from humans are identical. QuantifAI reduces the need for extensive data collection of humans.
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Greg Robison
Sep 11, 202413 min read
AI In Innovation
it will be used to take the place of the labor-intensive repetitive tasks that lead to large legal bills
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Greg Robison
Jul 31, 202410 min read
Meta's AI Revolution
Llama allows developers to build and fine-tune model for coding, summarization or role-play, creating surges in natural language processing
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Greg Robison
Jul 25, 20249 min read
Beyond Pattern Matching
Pursuing System 2 capabilities in AI will expand practical use of AI tech and I think deepen our understanding of our own cognition
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Greg Robison
Jul 9, 20248 min read
Conversations with the Web
LLM plus search can find relevant web pages, understand the context, extract key information, and present it in a coherent, tailored manner
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Greg Robison
Jul 2, 20249 min read
The Human Touch
GRAIG benchmark provides a view of LLMs using a wider range factors, with traditional measures like reasoning and novel aspects like humor
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Greg Robison
Jun 9, 20247 min read
5 Ways F'inn is Using Generative AI
Gen AI can make original, unseen outputs, transforming our business by helping us work faster and smarter.
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Greg Robison
May 29, 20247 min read
LLMs & Math
Using Python with LLMs unlocks applications across industries, significantly enhancing their utility in performing analysis & insights
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Greg Robison
May 9, 20246 min read
Artificial General Intelligence (AGI)
Finding common measures for developers to evaluate their AGI models, share their findings, and collaborate on next steps towards AGI.
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Greg Robison
Feb 4, 202417 min read
What is ChatGPTs Favorite Flavor of Ice Cream?
The F'inn-trained Llama 2-70B LLM better captures the rich variety of human expressions than even GPT-4
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