713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom
Sep 12, 2023
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Dr. Thomas Scialom discusses Llama 2, Toolformer, and BLOOM: open-source LLMs. Topics include AGI, RLHF in AI, and advice for AI entrepreneurs. Exploring Toolformer's capabilities, the Galactica project, and AI models' responsible use. Insights on developing large-scale AI projects and the future of AI industry.
Llama 2 uses reinforcement learning and human feedback for superior generative AI quality.
Toolformer enhances large language models by integrating external tools for diverse tasks.
Galactica's removal stresses ethical AI use and ongoing innovation in large language models.
Deep dives
The Significance of LAMA2 in AI Advancements
LAMA2, an open-source large language model developed at Meta, represents a significant advancement in AI. Its unique alignment model technique, combining pre-trained models with reinforcement learning feedback, sets it apart. LAMA2's ability to fine-tune and adapt based on human preferences aims to achieve excellent, often superhuman quality in generative AI outputs.
Toolformer and the Integration of External Tools
Toolformer, a project before LAMA2, focuses on training large language models to utilize external tools for various tasks. By teaching models when and how to interact with tools like calculators or search engines, Toolformer enhances the model's capabilities. This integration of tools not only aids in task performance but also showcases a natural extension of large language models.
Galactica's Role in Scientific Research and Unresolved Challenges
Galactica, a large language model designed for scientific research, aimed to assist in academic tasks like citing papers and accessing unique information. However, despite its brief success, Galactica faced challenges and criticisms leading to its removal. The project emphasized the importance of ethical use, responsible AI deployment, and continuous innovation in the field of large language models.
Shift in Distribution of Model Outputs
The podcast episode discusses how RLHF technology can enhance pre-trained Language Model (LLM) outputs by shifting the distribution from a typical pattern with mixed quality outputs to consistently excellent results. This alteration allows for extraordinary performance, surpassing human-generated quality, and potentially leading to the emergence of tasks with superhuman capabilities. The conversation highlights the impact of the release of GPT-4, emphasizing the significant advancements in artificial general intelligence (AGI) realization achieved through such groundbreaking technologies.
Challenges in Developing and Managing Large-Scale AI Projects
The discussion delves into the complexities of managing large-scale AI projects, where trade-offs and decision-making play pivotal roles. The challenges include managing massive team sizes, extensive computational resources, budget constraints, and time limitations. The necessity to make crucial decisions swiftly, amidst uncertainties, and balancing the need for comprehensive understanding with practical constraints, stands as a significant lesson in navigating the development of cutting-edge AI projects. The episode also touches on the continuous evolution and adaptation required in such dynamic environments to ensure project success and impactful outcomes.
Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.
This episode is brought to you by AWS Inferentia, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn: • Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04] • Responsible use of Llama 2 [15:26] • Toolformer: LLM That Learns How to Use External Tools [24:57] • Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57] • Is AGI Around the Corner? [57:03] • Advice for AI entrepreneurs [1:05:46] • How Thomas develops and manages large-scale AI projects [1:14:42]
