Commit Graph

11 Commits

Author SHA1 Message Date
Rafael dos Santos Silva 5c50d2aa09
FEATURE: Use stop_sequences for faster HyDE searches with Claude (#203) 2023-09-06 10:06:31 -03:00
Sam 181113159b
FIX: setting explorer was exceeding token budget
This refactor changes it so we only include minimal data in the
system prompt which leaves us lots of tokens for specific searches

The new search command allows us to pull in settings on demand

Descriptions are include in short search results, and names only
in longer results

Also: 

* In dev it is important to tell when calls are made to open ai
this adds a console log to increase awareness around token usage

* PERF: stop counting tokens so often

This changes it so we only count tokens once per response

Previously each time we heard back from open ai we would count
tokens, leading to uneeded delays

* bug fix, commands may reach in for tokenizer

* add logging to console for anthropic calls as well

* Update lib/shared/inference/openai_completions.rb

Co-authored-by: Martin Brennan <mjrbrennan@gmail.com>
2023-09-01 11:48:51 +10:00
Roman Rizzi b076e43d67
FEATURE: streaming mode for the FoldContent strategy. (#134) 2023-08-11 15:08:54 -03:00
Sam 4b0c077ce5
FEATURE: port to use claude-2 for chat bot (#114)
Claude 1 costs the same and is less good than Claude 2. Make use of Claude
2 in all spots ...

This also fixes streaming so it uses the far more efficient streaming protocol.
2023-07-27 11:24:44 +10:00
Rafael dos Santos Silva 9d10a152b9
FEATURE: Claude 2 for summarization and AIHelper (#101) 2023-07-13 12:32:08 -03:00
Roman Rizzi 1b568f2391
FIX: Claude's max_tookens_to_sample is a required field (#97) 2023-06-27 14:42:33 -03:00
Roman Rizzi 9a79afcdbf
DEV: Better strategies for summarization (#88)
* DEV: Better strategies for summarization

The strategy responsibility needs to be "Given a collection of texts, I know how to summarize them most efficiently, using the minimum amount of requests and maximizing token usage".

There are different token limits for each model, so it all boils down to two different strategies:

Fold all these texts into a single one, doing the summarization in chunks, and then build a summary from those.
Build it by combining texts in a single prompt, and truncate it according to your token limits.

While the latter is less than ideal, we need it for "bart-large-cnn-samsum" and "flan-t5-base-samsum", both with low limits. The rest will rely on folding.

* Expose summarized chunks to users
2023-06-27 12:26:33 -03:00
Sam 840968630e
FEATURE: disable smart commands on Claude and GPT 3.5 (#84)
For the time being smart commands only work consistently on GPT 4.
Avoid using any smart commands on the earlier models.

Additionally adds better error handling to Claude which sometimes streams
partial json and slightly tunes the search command.
2023-06-01 09:10:33 +10:00
Rafael dos Santos Silva 3c9513e754
Refinements to embeddings and tokenizers (#61)
* Refinements to embeddings and tokenizers

* lint

* Truncate with tokenizers for summary

* fix
2023-05-15 15:10:42 -03:00
Roman Rizzi 7e3cb0ea16
FEATURE: Multi-model support for the AI Bot module. (#56)
We'll create one bot user for each available model. When listed in the `ai_bot_enabled_chat_bots` setting, they will reply.

This PR lets us use Claude-v1 in stream mode.
2023-05-11 10:03:03 -03:00
Rafael dos Santos Silva bb0b829634
FEATURE: Anthropic Claude for AIHelper and Summarization modules (#39) 2023-04-10 11:04:42 -03:00