AI News : So 2027 AI Is Going To Be HUGE, Sam Altman reveals Key Milestones In AI, Googles New Model
Summary
This video discusses the impressive performance of metabot, a GitHub-based coding agent that outperformed top competitors in a software engineering benchmark. It also highlights Google's Gemma 2 models with billions of parameters, surpassing other chatbot models like Llama 3 and Coen 72. Additionally, Google's Gemini 1.5 Pro is mentioned for its extensive context length window and code execution capabilities, contributing to advancements in AI development. OpenAI GPT 40's ability to process long context tokens is explored, suggesting potential significant improvements in AI capabilities. The video concludes with predictions about AI models in 2027 costing billions to train and surpassing human capabilities, impacting various industries.
Metabot - State-of-the-art Coding Agent
Introduction to metabot, a GitHub native state-of-the-art coding agent that scored 38% in the software engineering benchmark, surpassing top competitors like Devon Alibaba Factory and IBM research.
Google's Gemma 2 Models
Discussion on Google's Gemma 2 models with 27 billion and 9 billion parameters beating models like Llama 3, Coen 72, and Command R in the chatbot arena.
Gemini 1.5 Pro and 2 Million Context Length
Google's Gemini 1.5 Pro achieving a 2 million context length window and code execution capabilities, enhancing AI development.
OpenAI GPT 40 and Long Context Tokens
Exploration of OpenAI GPT 40's ability to process long context tokens, potentially leading to remarkable improvements in AI.
AI Models in 2027
Predictions about AI models in 2027, costing billions to train and surpassing human capabilities, impacting various industries.
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