BloombergGPT's 50 Billion Parameter Model: How They Did It and How You Can Too скачать в хорошем качестве

BloombergGPT's 50 Billion Parameter Model: How They Did It and How You Can Too

This video provides practical guidance and insights for developing large language models, inspired by the BloombergGPT team's experience in creating a 50 billion parameter language model for the financial industry. The video covers key topics such as domain-specific data, tokenization, model architecture and sizing, evaluation, and hyperparameters. By following these best practices, organizations can accelerate their ability to create high-quality language models and stay at the forefront of AI and NLP. Link to 'Transformers' playlist    • Transformers & NLP   Link to 'Transformers in 60 seconds' playlist    • Generative AI In Sixty Seconds   Discover the best practices for developing cutting-edge language models in-house with this practical guide. Learn from Bloomberg's successes and insights to create high-quality models that outperform the competition. Are you struggling to develop a language model that meets the demands of your organization? Learn from the BloombergGPT team's experience and gain practical insights into data pipelines, tokenization, model architecture, evaluation, and hyperparameters. Get ahead of the game with this comprehensive guide. If you're looking to improve your language model development skills and stay ahead of the curve, look no further than this informative video series. Get the inside scoop from the BloombergGPT team and learn how to optimize your models for performance and success. From data pipelines to model sizing to evaluation, this video series covers all the critical factors involved in developing a large language model in-house. Gain practical insights and best practices from the BloombergGPT team and take your language model development skills to the next level. Want to create high-quality language models that outperform the competition? Follow the best practices and insights from the BloombergGPT team and optimize your data pipelines, tokenization, model architecture, evaluation, and hyperparameters. Don't miss out on this invaluable resource.