lingua-py
langchain
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| lingua-py | langchain | |
|---|---|---|
| 8 | 152 | |
| 881 | 56,526 | |
| - | - | |
| 7.4 | 10.0 | |
| 27 days ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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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.
lingua-py
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Typos — automatic language recognition and error detection in Word and Excel documents
ᅠ✅ Recognition of 75 languages
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The hand-picked selection of the best Python libraries and tools of 2022
Hi u/dekked_, perhaps you want to add my natural language detection library Lingua to the NLP section of the long tail. It is pretty unique among the natural language detection libraries for Python because it is able to detect multiple languages in mixed-language text. It is also one of the most accurate libraries when detecting the language of short text. I would very much appreciate if you added my library to your list.
- Lingua 1.2.0 - The most accurate natural language detection library for Python - now with support for detecting multiple languages in mixed-language text.
- Lingua 1.1.0 - The most accurate natural language detection library for Python
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Lingua-Go, the most accurate language detection for Go
I've compared the Python implementation of Lingua with fasttext. Lingua performs clearly better. Look here: https://github.com/pemistahl/lingua-py#4-how-good-is-it
- Lingua 1.0.1: The most accurate natural language detection library for Python - previously for Python >= 3.9, now compatible with Python >= 3.7
- Announcing Lingua 1.0.0: The most accurate natural language detection library for Python, suitable for long and short text alike
langchain
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🗣️🤖 Ask to your Neo4J knowledge base in NLP & get KPIs
Langchain and the implementation of Custom Tools also is a great (and very efficient) way to setup a dedicated Q&A (for example for chat purpose) agent.
- LangChain – Some quick, high level thoughts on improvements/changes
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Claude 2 Internal API Client and CLI
We're using it via langchain talking to Amazon Bedrock which is hosting Claude 1.x. It's comparable to GPT3.x, not bad. The integration doesn't seem to be fully there though, I think langchain is expecting "Human:" and "AI:", but Claude uses "Assistant:".
https://github.com/hwchase17/langchain/issues/2638
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Any better alternatives to fine-tuning GPT-3 yet to create a custom chatbot persona based on provided knowledge for others to use?
Depending on how much work you want to put into it, you can get started at HuggingFace with their models and datasets, but you'd need compute power, multiple MLOps, etc. I was introduced to the concept in this video, since Google has their Vertex AI tools on Google Cloud, and there's always LangChain but I'm not sure about anything recent.
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langchain VS griptape - a user suggested alternative
2 projects | 11 Jul 20232 projects | 9 Jul 2023
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Vector storage is coming to Meilisearch to empower search through AI
a documentation chatbot proof of concept using GPT3.5 and LangChain
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ChatPDF: What ChatGPT Can't Do, This Can!
I encourage everyone to pay attention to the Langchain open-source project and leverage it to achieve tasks that ChatGPT cannot handle.
- LangChain Arbitrary Command Execution - CVE-2023-34541
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Langchain Is Pointless
Yeah I never know where memory goes exactly in langchain, it's not exactly clear all the time. But sure, the main insight I remember is this, take a look at their MULTI_PROMPT_ROUTER_TEMPLATE: https://github.com/hwchase17/langchain/blob/560c4dfc98287da1...
It's a lot of instructions for an LLM, they seem to forget an LLM is an auto-completion machine, and which data it is trained on. Using <<>> for sections is not a normal thing, it's not markdown, which probably the thing read way more often on the internet, instead of open json comments, why not type signatures, instead of so many rules, why not give it examples? It is an autocomplete machine!
They are relying too much on the LLM being smart because they probably only test stuff in GPT-4 and 3.5, but with GPT4All models this prompt was not working at all, so I had to rewrite it, for simple routing, we don't even need json, carying the `next_inputs` here is weird if you don't need it.
So this is my version of it: https://gist.github.com/rogeriochaves/b67676977eebb1936b9b5c...
It's so basic it's dumb, yet it is more powerful, as it does not rely on GPT-4 level intelligence, it's just what I needed
What are some alternatives?
lingua-rs - The most accurate natural language detection library for Rust, suitable for short text and mixed-language text
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
langid.py - Stand-alone language identification system
llama_index - LlamaIndex is a data framework for your LLM applications
cld3
llama - Inference code for Llama models
LSTM_langid - Source code for the Apple reproduction
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
lingua-go - The most accurate natural language detection library for Go, suitable for short text and mixed-language text
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
cld2 - Compact Language Detector 2
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.