mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
491089754d
This PR follows the **Eden AI (LLM + embeddings) integration**. #8633 We added an optional parameter to choose different AI models for providers (like 'text-bison' for provider 'google', 'text-davinci-003' for provider 'openai', etc.). Usage: ```python llm = EdenAI( feature="text", provider="google", params={ "model": "text-bison", # new "temperature": 0.2, "max_tokens": 250, }, ) ``` You can also change the provider + model after initialization ```python llm = EdenAI( feature="text", provider="google", params={ "temperature": 0.2, "max_tokens": 250, }, ) prompt = """ hi """ llm(prompt, providers='openai', model='text-davinci-003') # change provider & model ``` The jupyter notebook as been updated with an example well. Ping: @hwchase17, @baskaryan --------- Co-authored-by: RedhaWassim <rwasssim@gmail.com> Co-authored-by: sam <melaine.samy@gmail.com> |
||
|---|---|---|
| .. | ||
| aleph_alpha.ipynb | ||
| Awa.ipynb | ||
| azureopenai.ipynb | ||
| bedrock.ipynb | ||
| bge_huggingface.ipynb | ||
| clarifai.ipynb | ||
| cohere.ipynb | ||
| dashscope.ipynb | ||
| deepinfra.ipynb | ||
| edenai.ipynb | ||
| elasticsearch.ipynb | ||
| embaas.ipynb | ||
| ernie.ipynb | ||
| fake.ipynb | ||
| google_vertex_ai_palm.ipynb | ||
| gpt4all.ipynb | ||
| huggingfacehub.ipynb | ||
| index.mdx | ||
| instruct_embeddings.ipynb | ||
| jina.ipynb | ||
| llamacpp.ipynb | ||
| localai.ipynb | ||
| minimax.ipynb | ||
| modelscope_hub.ipynb | ||
| mosaicml.ipynb | ||
| nlp_cloud.ipynb | ||
| openai.ipynb | ||
| sagemaker-endpoint.ipynb | ||
| self-hosted.ipynb | ||
| sentence_transformers.ipynb | ||
| spacy_embedding.ipynb | ||
| tensorflowhub.ipynb | ||
| xinference.ipynb | ||