azure-search-openai-demo
Local-LLM-Comparison-Colab-UI
azure-search-openai-demo | Local-LLM-Comparison-Colab-UI | |
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11 | 20 | |
5,526 | 910 | |
4.3% | - | |
9.5 | 9.1 | |
2 days ago | 11 days ago | |
Python | Jupyter Notebook | |
MIT License | - |
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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
Local-LLM-Comparison-Colab-UI
- Mistral 7B OpenOrca outclasses Llama 2 13B variants
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GPT-4 API general availability
In terms of speed, we're talking about 140t/s for 7B models, and 40t/s for 33B models on a 3090/4090 now.[1] (1 token ~= 0.75 word) It's quite zippy. llama.cpp performs close on Nvidia GPUs now (but they don't have a handy chart) and you can get decent performance on 13B models on M1/M2 Macs.
You can take a look at a list of evals here: https://llm-tracker.info/books/evals/page/list-of-evals - for general usage, I think home-rolled evals like llm-jeopardy [2] and local-llm-comparison [3] by hobbyists are more useful than most of the benchmark rankings.
That being said, personally I mostly use GPT-4 for code assistance to that's what I'm most interested in, and the latest code assistants are scoring quite well: https://github.com/abacaj/code-eval - a recent replit-3b fine tune the human-eval results for open models (as a point of reference, GPT-3.5 gets 60.4 on pass@1 and 68.9 on pass@10 [4]) - I've only just started playing around with it since replit model tooling is not as good as llamas (doc here: https://llm-tracker.info/books/howto-guides/page/replit-mode...).
I'm interested in potentially applying reflexion or some of the other techniques that have been tried to even further increase coding abilities. (InterCode in particular has caught my eye https://intercode-benchmark.github.io/)
[1] https://github.com/turboderp/exllama#results-so-far
[2] https://github.com/aigoopy/llm-jeopardy
[3] https://github.com/Troyanovsky/Local-LLM-comparison/tree/mai...
[4] https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder
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Best 7B model
The best 7B I tried is WizardLM. It's my go-to model.
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UltraLM-13B reaches top of AlpacaEval leaderboard
If you want to try it out, you can use Google Colab here with Oobabooga Text Generation UI: Link (Remember to check the instruction template and generation parameters)
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wizardLM-7B.q4_2
I'm really impressed by wizardLM-7B.q4_2 (GPT4all) running on my 8gb M2 Mac Air. Fast response, fewer hallucinations than other 7B models I've tried. GPT4All's beta document collection and query function is respectable--going to test it more tomorrow. FWIW wizardLM-7B.q4_2 was ranked very high here https://github.com/Troyanovsky/Local-LLM-comparison.
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Help me discover new LLMs for school project
I made a series of Colab notebooks for different models: https://github.com/Troyanovsky/Local-LLM-comparison
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Nous Hermes 13b is very good.
I found it performing very well too in my testing (Repo). It's my second favorite model after WizardLM-13B.
- How to train 7B models with small documents?
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What are your favorite LLMs?
My entire list at: Local LLM Comparison Repo
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Announcing Nous-Hermes-13b (info link in thread)
I just tried HyperMantis and updated the results in the repo. It performs not bad but worse than Nous-Hermes-13B.
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.
langflow - ⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.
chat-copilot
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
LLMStack - No-code multi-agent framework to build LLM Agents, workflows and applications with your data
simple-proxy-for-tavern
semantic-search-example
GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ
llm-jeopardy - Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
azurechatgpt - 🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.