You can create production grade apps.
@saboo_shubham_
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Free ChatLLM Trial Available Now on Abacus AI
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First month is free, try it out now: http://
chatllm.abacus.ai -
Access Multiple LLMs and Build AI Agents for $10
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Stop paying $50+ every month for ChatGPT, Claude and Gemini.
— Shubham Saboo (@Saboo_Shubham_) 11 mai 2024
With just $10 you can access GPT-4, Claude, Llama 3, Gemini and more LLMs in single AI playground.
Plus, build custom AI agents with RAG to chat with your internal data without writing a single line of Python Code. pic.twitter.com/mFkVuJN3g4Stop paying $50+ every month for ChatGPT, Claude and Gemini. With just $10 you can access GPT-4, Claude, Llama 3, Gemini and more LLMs in single AI playground. Plus, build custom AI agents with RAG to chat with your internal data without writing a single line of Python Code.
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New Model Request for Ollama and LM Studio
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yes, seems like a great new model request for @ollama and @LMStudioAI
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LLMs Tips and Tutorials for Sharing
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If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
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Gemma 10 Model Released: Access Hub and Technical Documentation
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Get the model here: • : https://
tinyurl.com/gemma10hf
• GitHub: https://
tinyurl.com/gemma10git
• Technical blog: https://
tinyurl.com/gemma10blog -
Google Gemma 10M Context Window: Local LLM Breakthrough
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Google Gemma with a 10M context window LLM features:
• 1250x context length of base Gemma
• Requires less than 32GB of memory
• Infini-attention + activation compression Imagine if you can run 10 million context LLM locally on your computer with @ollama or @LMStudioAI
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Running LLMs locally on MacBook M1 Pro with LMStudio
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Running on Macbook M1 pro (16GB RAM) using the @LMStudioAI. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. https://
x.com/Saboo_Shubham_
/status/1787308176813298128
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Running LLMs locally on MacBook M1 with Ollama
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Running on Macbook M1 pro (16GB RAM) using the @ollama and @OpenInterpreter.
— Shubham Saboo (@Saboo_Shubham_) 7 mai 2024
If you find this useful, RT to share it with your friends.
Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.https://t.co/Pg19tVLE6FRunning on Macbook M1 pro (16GB RAM) using the @ollama and @OpenInterpreter
. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. -
OpenInterpreter with Llama-3 Running Locally Free
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OpenInterpreter with Llama-3 running locally on your computer (100% free and without internet): pic.twitter.com/MEWAbaLGpo
— Shubham Saboo (@Saboo_Shubham_) 7 mai 2024OpenInterpreter with Llama-3 running locally on your computer (100% free and without internet):