tx · EHQLUJBQYuzBmXhj1sU1Fu113nKknYceqy7hmNc3eZKb
3N9ttyLcRwDo7L4EmJkbS3ZFuQJygivupsL: -0.00500000 Waves
2023.10.30 14:06 [2821286] invoke 3N9ttyLcRwDo7L4EmJkbS3ZFuQJygivupsL > 3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV commitTask()
3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV: checked_out_by_92ovWCy1Zf8CSsTLLLssC74m8yn5yPMqVp9fmVacou97_youtube_7HpRjnhpGydv8HDcLJmsEUu2cWedY1gzqv2xLuYokPNT_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp: true -> null
3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV: 7HpRjnhpGydv8HDcLJmsEUu2cWedY1gzqv2xLuYokPNT_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp_commit_timestamp_youtube: 1698664000670
3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV: 7HpRjnhpGydv8HDcLJmsEUu2cWedY1gzqv2xLuYokPNT_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp_commit_height_youtube: 2821286
3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV: 7HpRjnhpGydv8HDcLJmsEUu2cWedY1gzqv2xLuYokPNT_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp_result_youtube: "The speaker introduces the FinGBT project designed to create advanced language models with a focus on financial applications. They trace the timeline of language model advancements and significant breakthroughs that have made such models accessible for training. Specific advancements like Lora and Quantization were discussed, which have proved pivotal in reducing memory requirements. The speaker appreciates the open contributions from certain entities like Meta while criticizing others such as OpenAI for their restrictive attitudes.
However, there are criticisms of the FinGBT project's current state, with it seeming to be a work in progress and overreliant on external APIs. The quality and accessibility of the financial data sources used in FIMGPT receive scrutiny, and the project's lack of structure is highlighted.
Further on, the speaker proposes a structured approach towards the creation of financial large language models (LLMs), which includes clarifying goals, understanding automation roles or tasks, and gathering appropriate datasets. They endorse an open-source approach to avoid power concentration in a few large companies. The speaker maintains that the danger of AI lies in its control, not the technology itself.
Concluding the discussion, they encourage the audience to determine what needs to be built with LLMs, particularly in the financial field, and to get started on such projects. Lastly, the speaker holds a Q&A session on the topic."
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