Software Alternatives, Accelerators & Startups

LangSmith VS Hugging Face

Compare LangSmith VS Hugging Face and see what are their differences

LangSmith logo LangSmith

Build and deploy LLM applications with confidence

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence ๐Ÿค—
  • LangSmith Landing page
    Landing page //
    2023-10-21
  • Hugging Face Landing page
    Landing page //
    2023-09-19

LangSmith videos

๐Ÿฆœ๐Ÿ› ๏ธ Getting started with LangSmith - Integrating with LANGCHAIN powered Web Applications & Chatbots

Hugging Face videos

No Hugging Face videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to LangSmith and Hugging Face)
AI
24 24%
76% 76
Social & Communications
0 0%
100% 100
Productivity
43 43%
57% 57
Help Desk
100 100%
0% 0

User comments

Share your experience with using LangSmith and Hugging Face. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Hugging Face seems to be more popular. It has been mentiond 256 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

LangSmith mentions (0)

We have not tracked any mentions of LangSmith yet. Tracking of LangSmith recommendations started around Jul 2023.

Hugging Face mentions (256)

  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 3 days ago
  • Building a Simple Chatbot using GPT model - part 2
    Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 11 days ago
  • Add Vector Search to Your Site
    We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 10 days ago
  • How to run any LLM model with Hugging-Face ๐Ÿค—
    Hugging-face ๐Ÿค— is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 18 days ago
  • Chat with your Github Repo using llama_index and chainlit
    HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing LangSmith and Hugging Face, you can also consider the following products

vishwa.ai - Unlock world of possibilities with AI | No-code tool to Build, Deploy, and Monitor AI Apps| Productionizing LLMs

LangChain - Framework for building applications with LLMs through composability

Humanloop - Train state-of-the-art language AI in the browser

Replika - Your Ai friend

Langfuse - Open source tracing and analytics for LLM applications

Mitsuku - Browser-based, AI chat bot.