Software Alternatives, Accelerators & Startups

Hugging Face VS Humanloop

Compare Hugging Face VS Humanloop and see what are their differences

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗

Humanloop logo Humanloop

Train state-of-the-art language AI in the browser
  • Hugging Face Landing page
    Landing page //
    2023-09-19
  • Humanloop Landing page
    Landing page //
    2023-08-23

Hugging Face videos

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Humanloop videos

Train and deploy NLP — Humanloop

More videos:

  • Review - The Great AI Implementation with Raza Habib of Humanloop

Category Popularity

0-100% (relative to Hugging Face and Humanloop)
Social & Communications
100 100%
0% 0
AI
69 69%
31% 31
Developer Tools
0 0%
100% 100
Chatbots
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Hugging Face seems to be a lot more popular than Humanloop. While we know about 256 links to Hugging Face, we've tracked only 3 mentions of Humanloop. 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.

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 / about 6 hours 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 / 9 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 / 7 days ago
  • How to run any LLM model with Hugging-Face 🤗
    Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 15 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
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Humanloop mentions (3)

  • How are generative AI companies monitoring their systems in production?
    - Conversational simulation is an emerging idea building on top of model-graded eval” - AI Startup Founder Things to consider when comparing options: “Types of metrics supported (only NLP metrics, model-graded evals, or both), level of customizability; supports component eval (i.e. Single prompts) or pipeline evals (i.e. Testing the entire pipeline, all the way from retrieval to post-processing)” “+method of... - Source: Hacker News / 9 months ago
  • Ask HN: Who is hiring? (March 2023)
    Humanloop (YC S20) | London (or remote) | https://humanloop.com We're looking for exceptional engineers that can work at varying levels of the stack (frontend, backend, infra), who are customer obsessed and thoughtful about product (we think you have to be -- our customers are "living in the future" and we're building what's needed). Our stack is primarily Typescript, Python, GPT-3. Please apply at... - Source: Hacker News / over 1 year ago
  • Compiling a list of tools for building LLM apps
    https://humanloop.com/ Find the prompts users love and fine-tune custom models for higher performance at lower cost. - Source: Hacker News / over 1 year ago

What are some alternatives?

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

Replika - Your Ai friend

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

PromptLayer - The first platform built for prompt engineers

Mitsuku - Browser-based, AI chat bot.

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.