langchain/docs/modules
Nolan Tremelling faa26650c9
Beam (#4996)
# Beam

Calls the Beam API wrapper to deploy and make subsequent calls to an
instance of the gpt2 LLM in a cloud deployment. Requires installation of
the Beam library and registration of Beam Client ID and Client Secret.
Additional calls can then be made through the instance of the large
language model in your code or by calling the Beam API.

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Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 01:25:18 -07:00
..
agents Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012) 2023-05-23 06:45:48 -07:00
callbacks add more color to callbacks docs (#3856) 2023-04-30 19:13:01 -07:00
chains Harrison/neo4j (#5078) 2023-05-22 07:31:48 -07:00
indexes Vectara (#5069) 2023-05-24 01:24:58 -07:00
memory Zep memory (#4898) 2023-05-17 20:01:01 -07:00
models Beam (#4996) 2023-05-24 01:25:18 -07:00
prompts Clarification of the reference to the "get_text_legth" function in ge… (#5154) 2023-05-23 20:43:38 -07:00
utils/examples Pass parsed inputs through to tool _run (#4309) 2023-05-08 09:13:05 -07:00
agents.rst DOC: Misspelling in agents.rst documentation (#5038) 2023-05-20 22:24:08 -07:00
chains.rst
indexes.rst
memory.rst
models.rst Harrison/standard llm interface (#4615) 2023-05-13 09:05:31 -07:00
paul_graham_essay.txt
prompts.rst Harrison/prompt constructor methods (#4616) 2023-05-13 09:23:51 -07:00
state_of_the_union.txt