I'm running https://text-generator.io give it a try, the TTS network I'm using currently is Speech T5. Text Generator is Open Source on the Github so if your interested in self hosting give that a try. Try the voices in the web UI first, the voices sound a bit more computer generated than eleven labs, but its orders of magnitude cheaper (theres an API or via self hosting). Source: 11 months ago

I'm planning on making group chats and social features that connect us to AI characters :) looking to make our AI characters help us and our communities across the web. Also working on more immersive experiences like VFX/3d avatars and speech. I'm raising a token to help reward AI Character creators and AI Developers for making the platform better https://netwrck.com/netw-token creators will earn most NETW... Source: 11 months ago

Instead of going up looking for big models. I run https://text-generator.io which benchmarks a string against multiple models and picks the one that is over confident about the perplexity. Basically uses the model that is most familiar with the data. But it's all 7b models so not too big to fit. Source: 11 months ago

Holy guac there are heaps of bots on reddit now!!! For some variety try https://text-generator.io or bard, these are all clearly ChatGPT.... Read these comments seriously they are all clearly bots, same with the "name generated algorithms" for their usernames too. Source: 12 months ago

I'm not a bot... (i can say seggs)... But shameless self promotion is my only tool left in my toolbelt of 0 marketing skills and crippling mortgage debt. Also for those interested in transending and becoming a bot: Checkout this sweet LLM API that may or may not be created by myself... https://text-generator.io. Source: 12 months ago

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 / 1 day ago

Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 9 days ago

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 1 month ago

The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 2 months 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 / about 2 months ago