BloombergGPT: How Financial Data is Fueling AI Language Models скачать в хорошем качестве

BloombergGPT: How Financial Data is Fueling AI Language Models

Discover how Bloomberg, a financial data company, is harnessing the power of augmented domain-specific datasets to build a 50 billion parameter LLM that outperforms existing models on financial tasks. Building effective large language models requires massive amounts of high-quality data, but what happens when that data is specialized to a domain? Learn how Bloomberg used augmented datasets to train an LLM that excels in finance. Are you curious about how language models like GPT-3 and BloombergGPT are trained? In this video, we explore the importance of augmented domain-specific datasets in building LLMs and showcase Bloomberg's approach. BloombergGPT is making waves in the world of finance, but how did the team build such a powerful language model? Tune in to learn about the role of augmented datasets and how they can be used to train LLMs for specialized domains. If you're interested in the intersection of AI and finance, you won't want to miss this video. We delve into the world of augmented domain-specific datasets and how they are shaping the development of large language models like BloombergGPT. Link to Word embeddings in Sixty Seconds:    • Word Embeddings in 60 Seconds for NLP AI &...   Link to in-depth video on word embeddings:    • ChatGPT - Semantics: Transformers & NLP 2   Link to Backpropagation explainer:    • How neural networks learn - "Backpropagation"   "60 seconds explainer" Neural network playlist:    • Neural Networks in 60 seconds   In-depth explainer on neural networks:    • Neural Network Primer   "60 seconds explainer" Transformers:    • Generative AI In Sixty Seconds   In-depth explainer on Transformers:    • Transformers & NLP   "Large Language Models Encode Clinical Knowledge" - https://arxiv.org/pdf/2212.13138.pdf "Demystification of Few-shot & one-shot Learning" : https://arxiv.org/abs/2104.12174