azure-search-openai-demo
open_llama
azure-search-openai-demo | open_llama | |
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11 | 52 | |
5,526 | 7,248 | |
4.3% | 0.6% | |
9.5 | 5.3 | |
2 days ago | 11 months ago | |
Python | ||
MIT License | Apache License 2.0 |
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azure-search-openai-demo
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Help with my Frontend-Code for AZURE GPT - Will Tip
Hi all, Im not an expert at full-stack deployments and need help with a sample code from github to which I want to make changes. (Code: https://github.com/Azure-Samples/azure-search-openai-demo) If your suggestion works, I am willing to tip 15$ (please provide link). This Github code is used as frontend for our application. We pretty much want to keep it like it is but make one minor adjustment. If you chat with the model, it gives you citations: (Link). Then on the right side of the page a Analysis Bar opens and it shows the one page that this citation refers to. HERE: We need to show the WHOLE document for each citation instead of just one page. I think it has to do with an url or something that needs to be changed. Could you tell me the script names and changes (before and after) so I can overwrite it? Thanks a lot. Best
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Azure ChatGPT: Private and secure ChatGPT for internal enterprise use
There's at least two more. There's also https://github.com/Azure-Samples/azure-search-openai-demo
And you can deploy a chat bot from within the Azure playground which runs on another codebase.
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GPT-4 API general availability
You can see region availability here for Azure OpenAI:
https://learn.microsoft.com/en-us/azure/cognitive-services/o...
It's definitely limited, but there's currently more than one region available.
(I happen to be working at the moment on a location-related fix to our most popular Azure OpenAI sample, https://github.com/Azure-Samples/azure-search-openai-demo )
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Pricing question
Hello everyone, I am an electrical engineer working at a company, since I’ve been coding for a few months they asked me to implement Ai services in their workflow and I did it following the tutorial by azure to chat with entreprise data provided by Microsoft (https://github.com/Azure-Samples/azure-search-openai-demo) the problem is in only a few days the pricing was indicated to be about 70$ going in too much higher prévision for the rest of the month in the azure cost analysis tool which is too high for us. When I saw that I deleted the ressource group that was created following the tutorial but now I can’t access it to see azure stopped billing us and I’m a little worried. If the ressource group including the cognitive search was deleted the billing stop right (it was cognitive search that costed like 95%) if not how can i see a deleted ressource group and how can I stop the billing?
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New to Azure, deployed a MS project from github. How can I edit the .py files in azure?
I recently deployed https://github.com/Azure-Samples/azure-search-openai-demo
- How to understand somebody else's code? Any tools that can help visualize would be a life saver!
- How to understand somebody else's code? Any tools that can help visualise would be a life saver!
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Create custom "Coach-bot" based on company documents to coach customers?
You may also want to browse through this sample code base on GitHub https://github.com/Azure-Samples/azure-search-openai-demo. This sounds like what you want to achieve. https://github.com/Azure-Samples/azure-search-openai-demo
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Can you train AI on a knowledge base to offer customer support through a live chatbot?
You can also use a GPT model combined with a search service to provide a QnA chatbot https://github.com/Azure-Samples/azure-search-openai-demo
- Will pay someone to spin up a simple Azure/OpenAI demo
open_llama
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How Open is Generative AI? Part 2
The RedPajama dataset was adapted by the OpenLLaMA project at UC Berkeley, creating an open-source LLaMA equivalent without Meta’s restrictions. The model's later version also included data from Falcon and StarCoder. This highlights the importance of open-source models and datasets, enabling free repurposing and innovation.
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GPT-4 API general availability
OpenLLaMA is though. https://github.com/openlm-research/open_llama
All of these are surmountable problems.
We can beat OpenAI.
We can drain their moat.
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Recommend me a computer for local a.i for 500 $
#1: 🌞 Open-source Reproduction of Meta AI’s LLaMA OpenLLaMA-13B released. (trained for 1T tokens) | 0 comments #2: 🎉 #1 on HuggingFace.co's Leaderboard Model Falcon 40B is now Free (Apache 2.0 License) | 0 comments #3: 😍 Have you seen this repo? "running LLMs on consumer-grade hardware. compatible models: llama.cpp, alpaca.cpp, gpt4all.cpp, rwkv.cpp, whisper.cpp, vicuna, koala, gpt4all-j, cerebras and many others!" | 0 comments
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Who is openllama from?
Trained OpenLLaMA models are from the OpenLM Research team in collaboration with Stability AI: https://github.com/openlm-research/open_llama
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Personal GPT: A tiny AI Chatbot that runs fully offline on your iPhone
I can't use Llama or any model from the Llama family, due to license restrictions. Although now there's also the OpenLlama family of models, which have the same architecture but were trained on an open dataset (RedPajama, the same dataset the base model in my app was trained on). I'd love to pursue the direction of extended context lengths for on-device LLMs. Likely in a month or so, when I've implemented all the product feature that I currently have on my backlog.
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XGen-7B, a new 7B foundational model trained on up to 8K length for 1.5T tokens
https://github.com/openlm-research/open_llama#update-0615202...).
XGen-7B is probably the superior 7B model, it's trained on more tokens and a longer default sequence length (although both presumably can adopt SuperHOT (Position Interpolation) to extend context), but larger models still probably perform better on an absolute basis.
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MosaicML Agrees to Join Databricks to Power Generative AI for All
Compare it to openllama. It github doesn't have a single script on how to do anything.
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Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
OpenLLaMA models up to 13B parameters have now been trained on 1T tokens:
https://github.com/openlm-research/open_llama
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Containerized AI before Apocalypse 🐳🤖
The deployed LLM binary, orca mini, has 3 billion parameters. Orca mini is based on the OpenLLaMA project.
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AI — weekly megathread!
OpenLM Research released its 1T token version of OpenLLaMA 13B - the permissively licensed open source reproduction of Meta AI's LLaMA large language model. [Details].
What are some alternatives?
sample-app-aoai-chatGPT - Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
chat-copilot
llama.cpp - LLM inference in C/C++
LLMStack - No-code multi-agent framework to build LLM Agents, workflows and applications with your data
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
semantic-search-example
gpt4all - gpt4all: run open-source LLMs anywhere
llm-jeopardy - Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts
ggml - Tensor library for machine learning
azurechatgpt - 🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
gorilla - Gorilla: An API store for LLMs