phasellm
llama.go
| phasellm | llama.go | |
|---|---|---|
| 14 | 12 | |
| 443 | 1,168 | |
| - | - | |
| 8.9 | 8.2 | |
| 3 months ago | 5 months ago | |
| Python | Go | |
| MIT License | GNU General Public License v3.0 or later |
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phasellm
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Ask HN: Any recommended AI tools to analyze data and generate insights?
If you're looking for an open source solution you can customize, check out the ResearchLLM demo: https://phasellm.com/researchllm
Code: https://github.com/wgryc/phasellm/tree/main/demos-and-produc...
- PhaseLLM Eval: run batch LLM jobs and evals via visual front-end (MIT licensed)
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To everyone who is using alternative bots (e.g. Claude) - your comparisons?
Using Claude, Cohere, GPT-4, OpenAssistant. Formally swapping between them using PhaseLLM (open source library similar to LangChain).
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April 2023
Large language model evaluation and workflow framework from Phase AI. (https://github.com/wgryc/phasellm)
- Ask HN: Freelancer? Seeking freelancer? (June 2023)
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ResearchGPT: Automated Data Analysis and Interpretation
Fantastic questions! Re: working/not working at times -- this is still an issue. It's why I'm building PhaseLLM more broadly (https://github.com/wgryc/phasellm) -- need a robust pipeline that can also "reset" parts of itself if an LLM makes errors or mistakes.
You can see my prompts in this file: https://github.com/wgryc/phasellm/blob/main/demos-and-produc... I autogenerate a fairly big starting prompt and keep resubmitting it. It describes the data set extensively, which helps quite a bit.
That being said, a lot more can be done here around prompt optimization + making this more robust.
- ResearchGPT: LLMs to write stats code, analyze, and interpret results for you
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Best way to use GPT offline with own content?
That being said, you might want to actually run head-to-head tests between models. PhaseLLM (free, open source) allows you to build a workflow and plug and play various models (including Dolly 2.0 and GPT-4). Then you can run tests to see how much worse/better the various LLMs are and if that's acceptable for your use case.
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12-Apr-2023 AI Summary
Large language model evaluation and workflow framework from Phase AI. (https://github.com/wgryc/phasellm)
- PhaseLLM: Standardized Chat LLM API (Cohere, Claude, GPT) + Evaluation Framework
llama.go
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Understanding GPT Tokenizers
You might reuse simple LLaMA tokenizer right in your Go code, look there:
https://github.com/gotzmann/llama.go/blob/8cc54ca81e6bfbce25...
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April 2023
llama.go is like llama.cpp in pure Golang (https://github.com/gotzmann/llama.go)
- llama.go v1.4 - introduces Rest API for your GPT services
- [Golang] Llama.go - Meta's Llama GPT Inférence dans Pure Golang
- LLaMA.go v1.4: now with scalable REST API exposing local GPT model
- Local LLaMA REST API with llama.go v1.4
- LLaMA.go v1.4 - introducing REST API for building your own GPT services
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MiniGPT-4
I'm developing framework [1] in Golang with this goal in mind :) It successfully runs relatively big LLM right now, and diffusion models will be the next step
[1] https://github.com/gotzmann/llama.go/
- gotzmann/llama.go: llama.go is like llama.cpp in pure Golang!
- Show HN: Llama.go – port of llama.cpp to pure Go
What are some alternatives?
awesome-chatgpt - 🧠 A curated list of awesome ChatGPT resources, including libraries, SDKs, APIs, and more. 🌟 Please consider supporting this project by giving it a star.
Flowise - Drag & drop UI to build your customized LLM flow
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.
gpt4all.unity - Bindings of gpt4all language models for Unity3d running on your local machine
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
nn-zero-to-hero - Neural Networks: Zero to Hero
rel-events - The relevant React Events Library.
tokenizer - Pure Go implementation of OpenAI's tiktoken tokenizer
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
LLamaStack - ASP.NET Core Web, WebApi & WPF implementations for LLama.cpp & LLamaSharp
prompt-engineering - ChatGPT Prompt Engineering for Developers - deeplearning.ai
langchain-alpaca - Run Alpaca LLM in LangChain