Again, I am asking you for a theory. WHY would strings of text reflecting word distribution in some unknown training corpus be useful for the work that you are doing? >>
LLMS
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Groq Showcases Low-Latency Inference Speed for LLM Applications
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Hey @SamA
! Check out our low-latency #inference. Imagine what @OpenAI could build with #GroqSpeed. Let us know if you want to see a live demo. Or better yet, try it for yourself: http://
chat.groq.com. #Groq ® #ChatGPT #LLM #GenAI https://
youtube.com/watch?v=KEbmWB
Kbqy0
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Inference Strategy: Quality, Scalability and Speed for GenAI
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Business and technology leaders – does your #inference strategy ensure quality, scalability & speed? In our latest white paper, we share more on these factors plus key questions to ask when building inference strategies for #GenAI deployment. Get it here: https://
groq.link/wp2 -
LLM Theory and Data Source Validation
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You didn't answer my question though. What is your theory of what LLMs do and how does that theory motivate your using their output as data for your purposes?
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AI Breakthroughs: Lucid Dreams, Model Upgrades, New Tools
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Top stories in AI today: -New device aims to induce lucid dreams on demand
-OpenAI rolls out new model upgrades, cost cuts
-Access Copilot's GPTs & plugins on mobile
-Pika releases RPG for prompt comprehension
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/lucid-dreami
ng-with-ai
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Adding System Messages to CSV Rows for Model Training
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you can add system message manually in each row of the csv. if you use a format like https://
huggingface.co/datasets/Huggi
ngFaceH4/no_robots
…, you can set apply_chat_template to True to make it automatically. however, many models dont support this. -
OpenAI Cuts GPT-3.5 Costs, Upgrades GPT-4 Turbo Model
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OpenAI just announced several new upgrades to its GPT models. -GPT-3.5 Turbo gets a 50% input cost drop + 25% output price cut
-GPT-4 Turbo gets an upgrade to reduce ‘laziness’
-A 4T model will be launching in ‘general availability’ in the coming months. -
Meta’s Essential Guide to LLM Prompt Engineering Best Practices
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Meta released a new guide to prompt engineering, covering best practices for getting the most out of conversations with LLMs.
— Rowan Cheung (@rowancheung) 26 janvier 2024
-Be Explicit
-Add phrases like "Let's think step-by-step"
-Use Roles
-Include information from external sources when possible https://t.co/D19mU95HnrMeta released a new guide to prompt engineering, covering best practices for getting the most out of conversations with LLMs. -Be Explicit
-Add phrases like "Let's think step-by-step"
-Use Roles
-Include information from external sources when possible