Hugging Face
Replika
LangChain
Mitsuku
Haystack NLP Framework
Cleverbot.io
Civitai
A.L.I.C.E.
NLP Cloud
spaCy
Amazon Comprehend
Polyglot NLP
Google Cloud Natural Language API
OpenNLP
TextBlob
GPT-3 Demo
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
Hugging Face NLP CloudBased on our record, Hugging Face should be more popular than NLP Cloud. It has been mentiond 252 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.
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 / 10 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 16 days ago
Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / 22 days ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 22 days ago
New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 1 month ago
NLP Cloud (their Dolphin and Fine-tuned GPT-NeoX models). Source: 10 months ago
I am using NLP Cloud more and more and have not seen such quality drop with their service. Source: 10 months ago
You have NLP Cloud which is a nice and comprehensive OpenAI competitor. Source: 10 months ago
You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: 10 months ago
You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: 10 months ago
Replika - Your Ai friend
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
LangChain - Framework for building applications with LLMs through composability
Amazon Comprehend - Discover insights and relationships in text
Mitsuku - Browser-based, AI chat bot.
Polyglot NLP - Development
