NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO · Hugging Face
huggingface.co
NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO · Hugging Face
Supported Models
Suggest Edits
Where possible, we try to match the Hugging Face implementation. We are open to adjusting the API, so please reach out with feedback regarding these details.
Model
Context Length
Model Type
codellama-34b-instruct
16384
Chat Completion
llama-2-70b-chat
4096
Chat Completion
mistral-7b-instruct
4096 [1]
Chat Completion
pplx-7b-c... See more
Suggest Edits
Where possible, we try to match the Hugging Face implementation. We are open to adjusting the API, so please reach out with feedback regarding these details.
Model
Context Length
Model Type
codellama-34b-instruct
16384
Chat Completion
llama-2-70b-chat
4096
Chat Completion
mistral-7b-instruct
4096 [1]
Chat Completion
pplx-7b-c... See more
Supported Models
🔎 GPT Researcher
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
The agent can produce detailed, factual and unbiased research reports, with customization options for focusing on relevant resources, outlines, and lessons. Inspired by the recent Plan-and-Solve and RAG (Retrieval Augmented Gene... See more
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
The agent can produce detailed, factual and unbiased research reports, with customization options for focusing on relevant resources, outlines, and lessons. Inspired by the recent Plan-and-Solve and RAG (Retrieval Augmented Gene... See more
assafelovic • GitHub - assafelovic/gpt-researcher: GPT based autonomous agent that does online comprehensive research on any given topic
The CoD prompt instructs highly powered LLMs such as GPT-4 to produce an initial sparse, verbose summary of an article containing only a few entities. It then iteratively identifies 1–3 missing entities and fuses them into a rewrite of the previous summary in the same number of words.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
in models with between 2 and 7 billion parameters, new capabilities emerge such as the ability to generate different creative text in formats like poems, code, scripts, musical pieces, emails, and letters, and to answer even open-ended and challenging questions in an informative way.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
NotebookLM | Note Taking & Research Assistant Powered by AI
notebooklm.google
deepseek-ai/Janus-Pro-7B · Hugging Face
huggingface.co