GPTCache
gorilla-cli
| GPTCache | gorilla-cli | |
|---|---|---|
| 43 | 11 | |
| 6,446 | 1,162 | |
| 2.1% | 3.8% | |
| 7.7 | 5.5 | |
| about 1 month ago | 3 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GPTCache
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Ask HN: What are the drawbacks of caching LLM responses?
Just found this: https://github.com/zilliztech/GPTCache which seems to address this idea/issue.
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Open Source Advent Fun Wraps Up!
21. GPTCache | Github | tutorial
- Semantic Cache
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Show HN: Danswer – open-source question answering across all your docs
Check this out. Built on a vector database (https://github.com/milvus-io/milvus) and a semantic cache (https://github.com/zilliztech/GPTCache)
https://osschat.io/
- GPTCache
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Ask HN: Is LLM Caching Necessary?
With the proliferation of large models, an increasing number of enterprises and individual developers are now developing applications based on these models. As such, it is worth considering whether large model caching is necessary during the development process.
Our project: https://github.com/zilliztech/GPTCache
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Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs
Maybe [GPTCache](https://github.com/zilliztech/GPTCache) can make it more attractive, because similar problems can be less expensive, and can also be responded to faster. Of course, the specific configuration needs to be based on real usage scenarios.
- Limited budget or machine resources, how to achieve a decent LLM experience?
gorilla-cli
- FLaNK 15 Jan 2024
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Show HN: Shell-AI, run shell commands with natural language
Hello HN! I know this project is a super simple wrapper around LangChain/OpenAI but I just found myself wanting this badly myself: a super simple `pip install` package that I can use to get command suggestions within the terminal as I'm being productive doing other things.
The implementation is literally one short glue of LangChain and InquirerPy for interactive CLI.
I'm curious which ideas you all have to make this smarter/better. MIT licensed, if you're keen on contributing please feel free to do so. It's a pure hobby project for me.
Some key objectives: never automatically run shell code, I want to see what I run before I run it, present me with some alternatives, a simple path to using local models in the future (Llama 2 Code soon?).
Will add I was inspired by the great https://github.com/gorilla-llm/gorilla-cli project, but didn't like that it sent the prompt to some IP based endpoint.
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Show HN: Poozle – open-source Plaid for LLMs
Very cool product! Have you consider relying on Gorilla for integrations?
https://github.com/gorilla-llm/gorilla-cli
- FLaNK Stack Weekly for 07August2023
- Show HN: Lemon AI – open-source Zapier NLA to empower agents
- GitHub - gorilla-llm/gorilla-cli: LLMs for your CLI (cum să faci operations doar în limba engleză)
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30-Jun-2023
gorilla-cli: LLMs for your CLI (https://github.com/gorilla-llm/gorilla-cli)
- Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs
What are some alternatives?
guardrails - Adding guardrails to large language models.
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
danswer - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
shell_gpt - A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
gpt4free - The official gpt4free repository | various collection of powerful language models
CallCMLModel - An example on calling models deployed in CML
sheetgpt - ChatGPT integration with Google Sheets
examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.