Thanks to @abdiisan for implementing an OpenRouter version of `ai-oracle`! https://
x.com/abdiisan/statu
/abdiisan/status/1777423304086753725
…
@mattshumer_
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OpenRouter Implementation of AI-Oracle Tool Released
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Combining Multiple AI Models for Improved Results
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It's not perfect, but on average, it should improve results significantly compared to using models individually. If anyone wants to improve it, there a lot of gains to be made by adding context about the strengths/weaknesses of each model in the final prompt.
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Multi-Model AI Orchestration Combining Claude GPT-4 Perplexity
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How does it work? The process is super simple. We simply query each model individually:
– Claude 3 Opus for reasoning + personality
– GPT-4 for reasoning
– PPLX for freshness/up-to-date info Then, Claude combines the strengths of each and responds with a final, ideal output. -
AI-Oracle: Open-source tool combining Claude, GPT-4, Perplexity
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Open-sourcing `AI-Oracle`.
— Matt Shumer (@mattshumer_) 8 avril 2024
Generates better responses than Claude 3 Opus.
A very simple approach that combines the abilities of Claude 3, GPT-4, and Perplexity to provide better results than any could provide on their own.
Seriously — it's dumb simple.
Notebook in thread: pic.twitter.com/8HQBUEiHoIOpen-sourcing `AI-Oracle`. Generates better responses than Claude 3 Opus. A very simple approach that combines the abilities of Claude 3, GPT-4, and Perplexity to provide better results than any could provide on their own. Seriously — it's dumb simple. Notebook in thread:
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Fine-tuning Models: When to Use It Versus Prompting
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If you haven’t hit PMF, you should not be fine-tuning models. Just prompt. Only exceptions:
– Speed is required for your use-case (and you need a model more powerful than Mixtral)
– Opus/GPT-4 cannot do your task or are too expensive per use -
Privacy Concerns Don’t Drive Youth Toward Self-Hosted Solutions
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And for the people who keep saying that privacy will drive people towards self-hosted solutions: I’m 24. People my age have grown up with tech, and are generally more capable at using it than older generations. The amount of non-tech friends that I’ve seen upload pictures of
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Simplicity Drives Adoption: Design Philosophy for AI Solutions
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I can’t believe the amount of debate that this has caused. The simple truth is, people will use the most simple solution, and won’t spend a second thinking more about it. Why should they? It’s our job to make things simple and get out of the way, so that everyone can benefit
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Why Most Non-Tech Users Won’t Adopt Local AI Tools
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For 99.9% of non-techies, no. Think of a person in your life who is completely outside of tech. Can you really see them downloading LMstudio, loading in models, etc.? The only real exception is if someone like Apple ships with the AI integrated. If the user has to think, fail.
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Average Users Lack Motivation Setup Own AI Systems
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The average person barely cares, and certainly doesn't care enough to set up their own system
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Streaming massive AI systems outperforms local complex setups
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Much more intensive/technical setup + worse capabilities = a losing proposition. We can stream the outputs from a massive AI system directly to a user… this is more than enough for the average person.