Pro tips for improving AI responses and performance How to tune your language models

Pro tips for improving AI responses and performance How to tune your language models

HomeWhat's AI by Louis-François BouchardPro tips for improving AI responses and performance How to tune your language models
Pro tips for improving AI responses and performance How to tune your language models
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Unlock the full potential of large language models (LLMs) with this comprehensive guide! Dive into advanced techniques for auditing LLM output, reducing bias, and improving performance. Learn about temperature, stop sequences, frequency and attendance penalties, and explore practical examples to tailor LLMs to your specific needs. Your journey to mastering and commercializing LLMs starts here!

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With the great support of Cohere & Lambda.
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Chapters:
0:00 Subscribe to the channel for more AI videos!
0:20 Checking your LLM outputs.
0:36 Data!
1:05 Improve the decoding parameters!
1:15 Temperature.
2:25 Stop sequences.
3:01 The REACT framework!
4:05 Frequency penalty.
4:54 The decryption methods.
6:35 Fast technique.
7:05 Define a good system prompt!
7:39 Few shots
7:59 Series of thoughts that lead to
8:34 Encouraging self-consistency
9:04 Generated knowledge
9:20 RAG
9:44 Refinement and conclusion.

#ai #languagemodels #llm

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