llmware
nifi
| llmware | nifi | |
|---|---|---|
| 9 | 35 | |
| 3,173 | 4,429 | |
| 6.7% | 2.2% | |
| 9.8 | 9.9 | |
| 7 days ago | 6 days ago | |
| Python | Java | |
| Apache License 2.0 | 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.
llmware
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More Agents Is All You Need: LLMs performance scales with the number of agents
I couldn't agree more. You should check out LLMWare's SLIM agents (https://github.com/llmware-ai/llmware/tree/main/examples/SLI...). It's focusing on pretty much exactly this and chaining multiple local LLMs together.
A really good topic that ties in with this is the need for deterministic sampling (I may have the terminology a bit incorrect) depending on what the model is indended for. The LLMWare team did a good 2 part video on this here as well (https://www.youtube.com/watch?v=7oMTGhSKuNY)
I think dedicated miniture LLMs are the way forward.
Disclaimer - Not affiliated with them in any way, just think it's a really cool project.
- FLaNK Stack Weekly 19 Feb 2024
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Show HN: LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG
I've been building upon the LLMWare project - https://github.com/llmware-ai/llmware - for the past 3 months. The ability to run these models locally on standard consumer CPUs, along with the abstraction provided to chop and change between models and different processes is really cool.
I think these SLIM models are the start of something powerful for automating internal business processes and enhancing the use case of LLMs. Still kinda blows my mind that this is all running on my 3900X and also runs on a bog standard Hetzner server with no GPU.
- Show HN: LLMWare – Integrated Solution for RAG in Finance and Legal
- Llmware.ai – AI Tools for Financial, Legal and Compliance
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Open Source Advent Fun Wraps Up!
16. LLMWare by Ai Bloks | Github | tutorial
- FLaNK Stack Weekly 16 October 2023
- Strategy for PDF data extraction and Display
nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.
What are some alternatives?
llm-client-sdk - SDK for using LLM
Logstash - Logstash - transport and process your logs, events, or other data
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
meltano
openstatus - 🏓 The open-source synthetic & real user monitoring platform 🏓
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
megabots - 🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
SimplyRetrieve - Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: