Copy and paste these ChatGPT sales prompts to make your business more profitable:
TOOLS
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Agent Bottlenecks: UI Interaction Speed vs Direct API Access
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having spent a little bit of time working on agents, the bottleneck if often not inference speed but interaction speed. Interacting with buttons and browsers and UIs is so inefficient and much slower than say if you had direct API access, and very often you don't.
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Meta-Llama-3-70B-Instruct Q4 Quantized Model Implementation
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I used the Meta-Llama-3-70B-Instruct.Q4_0.llamafile (quantized at Q4) file from here:
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Running Llama-3-70B-Instruct locally on M4 Mac
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Pleased to report that the Llamafile release of Llama-3-70B-Instruct works on my 64GB M4 – I had to download the 37GB file, quit a whole bunch of apps to free up RAM, then chmod 755 it, run ./Meta-Llama-3-70B-Instruct.Q4_0.llamafile and visit it on port 8080 on localhost
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Adding OpenAI-compatible endpoints to Datasette LLM tool
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Context is I want to add more features relating to this to https://
llm.datasette.io so I'd like to use language that's widely understood but also as concise as possible llm openai-compatible-endpoints add perplexity https://… is a bit much! -
Naming OpenAI Compatible LLM API Endpoints Pattern
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What's a good name for that pattern where LLM API providers have endpoints that speak the same JSON protocol as OpenAI, and can be called using the OpenAI client libraries? I've been calling them "OpenAI compatible endpoints" but that's a bit of a mouthful
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Build ChatGPT Clone with Streamlit LangChain OpenAI
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Easiest way to Build your OpenAI like chatGPT message website with Streamlit Uses LangChain, OpenAI api, and streamlit to create a ChatGPT clone Great place to get started if you're just exploring building with LLMs https://
youtube.com/watch?v=mGpXF0
-Zzyw
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OpenAI API Features Discovery and Developer Learning
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I had genuinely no idea that was a thing for the OpenAI APIs
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Edge AI Adoption: Real-Time Decision-Making Through Model Optimization
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The Promise of Edge AI and Approaches for Effective Adoption: Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing. https://
kdnuggets.com/the-promise-of
-edge-ai-and-approaches-for-effective-adoption?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=the-promise-of-edge-ai-and-approaches-for-effective-adoption
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Voice assistants home usefulness concept failure analysis
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Do you think that was a failing in the technology or a failing in the concept itself? Is it possible that a voice assistant in your home is actually much less useful and compelling than it seems like it should be?