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SambaNova Systems
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kz919
updated
a
Space
11 days ago
kz919
updated
a
Space
19 days ago
Amitabhab
updated
a
Space
28 days ago
kz919
updated
2
Spaces
about 2 months ago
Post
1253
We’ve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is needed—then answers directly or with RAG.
sambanovasystems/auto-web-search
🥚 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.🥚
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
🥚 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.🥚
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
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
Post
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.
- 2 replies
EtashGuha
authored
a
paper
6 months ago
yongningsheng
authored
a
paper
7 months ago
Post
890
SambaNova just released a revolutionary paper about how the SN40L AI chip can host many LLMs on a single node and run inference so efficiently that it enables running a "composition of experts." These experts can be interconnected via a router, resulting in remarkable accuracy. This method allows you to take open source expert models from HuggingFace and continuously build and integrate them into a composition of experts.
I am also super excited about the possibilities that SN40Ls unlock for LLM agent workflows and pipelined calls. With the release of GPT4o, it seems that monolithic LLMs are starting to reach a plateau, and I believe that the next wave of AI will be driven by pipelined LLM calls and agent workflows. Most pipelined LLM workflows are bottlenecked by prohibitively expensive compute and high latency, but the SN40L provides a one stop shop solution for this. We need to get the word out to the community that this hardware exists, because it will open up a realm of possibilities that developers working with Nvidia hardware did not know exist.
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts (2405.07518)
I am also super excited about the possibilities that SN40Ls unlock for LLM agent workflows and pipelined calls. With the release of GPT4o, it seems that monolithic LLMs are starting to reach a plateau, and I believe that the next wave of AI will be driven by pipelined LLM calls and agent workflows. Most pipelined LLM workflows are bottlenecked by prohibitively expensive compute and high latency, but the SN40L provides a one stop shop solution for this. We need to get the word out to the community that this hardware exists, because it will open up a realm of possibilities that developers working with Nvidia hardware did not know exist.
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts (2405.07518)
daweih
authored
a
paper
7 months ago
mingranw
authored
a
paper
7 months ago
Post
2795
We posted new SOTA SambaLingo 70B parameter models for Arabic, Thai and Hungarian!
Check out the models here sambanovasystems/sambalingo-65e25770f2037c85ad35ca77
and our paper
https://arxiv.org/abs/2404.05829
Check out the models here sambanovasystems/sambalingo-65e25770f2037c85ad35ca77
and our paper
https://arxiv.org/abs/2404.05829
zolicsaki
authored
a
paper
12 months ago
linzheng
authored
a
paper
about 1 year ago
linzheng
authored
a
paper
over 1 year ago
kz919
authored
3
papers
over 1 year ago
Unrestricted Adversarial Examples via Semantic Manipulation
Paper
•
1904.06347
•
Published
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Paper
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2112.02721
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Published
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Paper
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2112.00029
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Published
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