Artificial Intelligence #163
Andriy Burkov
PhD in AI, author of ?? The Hundred-Page Language Models Book and ?? The Hundred-Page Machine Learning Book, ML at TalentNeuron
Hey, in this issue: GPT-4 is out and it's multimodal; generative AI in fashion; The state of competitive ML; fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU; visual ChatGPT; and more.
Don’t miss the Founders’ Keynote at this year’s Semantic Layer Summit on April 26th! In this panel, leaders who have founded industry-transforming companies (AtScale, Starburst, Stardog, Transform, & Cube) will share their perspectives on the semantic layer space.
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Pyrolysis Set up in Botswana
2 年Interesting
Here's a breakdown of some of the terms: Fine-tuning: This refers to the process of taking a pre-trained model and adapting it to a specific task or domain by adjusting its parameters. 20B LLMs: This likely refers to a pre-trained language model with 20 billion parameters. LLM stands for "large language model." RLHF: This could refer to a specific fine-tuning method called "reinforcement learning with human feedback." 24GB consumer GPU: This is the graphics processing unit used for training the model. It has a 24-gigabyte memory capacity and is designed for consumer use. Overall, the sentence seems to describe a process of fine-tuning a large pre-trained language model using a specific reinforcement learning method, using a consumer-grade graphics processing unit with a limited amount of memory. This approach may have some advantages and limitations depending on the specific task and available resources. #shahnamqadeer
Better R&D pipelines and decisions | Sr. Director @ Lundbeck | PhD
2 年? Subscribed