GENERATIVE AI

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24 March 2024 1h26

Sorry to disagree, but those models are far weaker than the leading models mentioned. The outputs won’t even be remotely as useful. Try the “no fingers” trick.

24 March 2024

Build Your Ideas Using LLMs as Your Development Partner

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23 March 2024 22h51

Decide what you want to build and just go for it. Ask LLMs for help when you need it. This is the way.

Claude excels at generation and self-prompting capabilities

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23 March 2024 22h49

Claude is incredible at this. Very valuable. Especially if you’re using Claude for generation as well. It knows how to prompt itself quite well 🙂

Evaluating AI Outputs: Subjective Preferences and Domain Expertise

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23 March 2024 22h48

Subjective: depends on the use-case… sometimes I’ll just go with my preference, or ask a few people to rate outputs. Domain specific: ask smarter LLMs or domain experts!

Using Claude Haiku for cost-effective prompt stuffing

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23 March 2024 22h47

If it’s under 200k tokens and I can afford it, I’m using Claude Haiku and stuffing it all in the prompt.

→ View original post on X — @groqinc

Groq Low Latency Enables Amazing User Experiences and Use Cases

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@groqinc

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23 March 2024 22h39

"Groq has shown that low latency can open up really interesting use cases, really interesting user experiences. You can go see [for yourselves] – they tweet all the time with what people are building on Groq, and it's amazing. They're definitely showing that there is a better

AI Development Stack: Local Setup with Cloud Compute

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23 March 2024 22h34

My couch. MacBook Pro. Runpod for compute. Axolotl for training. OpenAI Playground and Anthropic Console for prompt engineering. Sometimes PromptKnit.

AI Models Learn Faster With Less Training Data

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23 March 2024 22h27

Doubt it. As models get smarter, less data will be needed to teach them new things. So if today, it takes millions of examples to teach it a new language, a couple years from now, it may only need a few thousand.