Explore the latest developments in AI and large language models in this 23-minute video covering a range of topics including potential OpenAI updates, automatic prompt engineering, consistency in LLMs, and the Tokenizer Arena. Learn about Gemma's 10M context window, insights on AI evaluation from experts like Chip Huyen and Jason Liu, and the concept of KANs (Knowledge Augmented Networks). Gain valuable insights into the rapidly evolving field of AI and its applications in machine learning and engineering.
Overview
Syllabus
OpenAI Updates? - https://twitter.com/OpenAI/status/1788987793613725786
Automatic Prompt Engineering - https://twitter.com/AnthropicAI/status/1788958483565732213
Consistency LLMs - https://twitter.com/omarsar0/status/1788594039865958762
Tokenizer Arena - https://huggingface.co/spaces/Cognitive-Lab/Tokenizer_Arena
Gemma 10M Context Window - https://twitter.com/siddrrsh/status/1788632667627696417
Evaluation from Chip Huyen - https://twitter.com/chipro/status/1788972359900389475
Evaluation from Jason Liu - https://twitter.com/jxnlco/status/1788558053094117691
KANs - https://arxiv.org/abs/2404.19756v2
Taught by
Elvis Saravia
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