makcedward/hudocvqa
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Zoltan Csaki
zolicsaki
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liked
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22 days ago
makcedward/hudocvqa
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about 2 months ago
sambanovasystems/Pictionary
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zolicsaki's activity
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22 days ago
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about 2 months ago
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3 months ago
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3 months ago
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3 months ago
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3 months ago
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kz919's
post with π
3 months ago
Post
1286
Just for the meme.
But the clear lesson I learnt from building these demos are, the more powerful the underlying base model is, the closer you will get to GPT4o1. CoT is nothing more than simply inducing the latent reasoning capability from the model.
kz919/GPT4-O1-Proximas
But the clear lesson I learnt from building these demos are, the more powerful the underlying base model is, the closer you will get to GPT4o1. CoT is nothing more than simply inducing the latent reasoning capability from the model.
kz919/GPT4-O1-Proximas
reacted to
KingNish's
post with π
3 months ago
Post
3147
A super good and fast image inpainting demo is here.
Its' super cool and realistic.
Demo by @OzzyGT (Must try):
OzzyGT/diffusers-fast-inpaint
Its' super cool and realistic.
Demo by @OzzyGT (Must try):
OzzyGT/diffusers-fast-inpaint
posted
an
update
3 months ago
Post
1253
Weβve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is neededβthen answers directly or with RAG.
sambanovasystems/auto-web-search
π₯ A hidden Easter egg is that Auto Search detection is already trained into Llama 3.1 checkpoints. Simply use the tool usage system prompt below, and the model will either respond with a web search query if it deems necessary or respond to the query directly.π₯
Environment: IPython
Tools: Brave Search
Knowledge Cutoff Date: December 2023
Today's Date: September 2024
You are a helpful assistant. Reminder:
Search function calls MUST follow the specified format: "brave_search.call(query)"
You can see the documentation here
https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1#built-in-tooling
and read about how the tool usage was trained into Llama3.1 models in section 4.3.5 here https://arxiv.org/pdf/2407.21783
sambanovasystems/auto-web-search
π₯ A hidden Easter egg is that Auto Search detection is already trained into Llama 3.1 checkpoints. Simply use the tool usage system prompt below, and the model will either respond with a web search query if it deems necessary or respond to the query directly.π₯
Environment: IPython
Tools: Brave Search
Knowledge Cutoff Date: December 2023
Today's Date: September 2024
You are a helpful assistant. Reminder:
Search function calls MUST follow the specified format: "brave_search.call(query)"
You can see the documentation here
https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1#built-in-tooling
and read about how the tool usage was trained into Llama3.1 models in section 4.3.5 here https://arxiv.org/pdf/2407.21783
liked
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3 months ago
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3 months ago
Post
1293
Fast inference is no longer a nice-to-have demo; it will be the driving force behind future frontier models. Time to switch over to custom AI hardware and short Nvidia.
Try out SambaNova's lightning fast API for free at https://sambanova.ai/fast-api?api_ref=444868
Try out SambaNova's lightning fast API for free at https://sambanova.ai/fast-api?api_ref=444868
liked
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4 months ago
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kz919's
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4 months ago
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1586
Spent a few minutes to build an alternative to Character AI on top of llama3.1 405B through SambaNova's super fast inference API
Space: kz919/Persona-AI
API referral link: https://sambanova.ai/fast-api?api_ref=907266
Space: kz919/Persona-AI
API referral link: https://sambanova.ai/fast-api?api_ref=907266
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4 months ago
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1811
You can run Llama405B at over 100 tokens per second for free using SambaNova's API! https://sambanova.ai/fast-api?api_ref=444868
I have been able to generate some high quality synthetic data and use it as an LLM as a judge instead of the slower and more expensive alternatives like openAI or Anthropic.
I have been able to generate some high quality synthetic data and use it as an LLM as a judge instead of the slower and more expensive alternatives like openAI or Anthropic.
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- 2 replies