LangChain version 0.0.21 Added in Memory abstraction (
@sjwhitmore
) Conversational chain (
@sjwhitmore
) Method for adding examples to ExampleSelector class (
@sjwhitmore
) Bug fix for search class Support for all params in the OpenAI wrapper
TOOLS
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LangChain 0.0.21: Memory, Conversational Chain, and Improvements
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OpenAI Wrapper Parameters and Search Class Bug Fixes
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h/t @EandrewJones for suggesting adding more params to the OpenAI wrapper h/t thepok on discord for pointing out the search class bug (another plug to join the discord! http://
discord.gg/6adMQxSpJS) -
Stable Diffusion 2: Four New Models for Image Generation
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What is Stable Diffusion 2? new models Diffusers supports 4 of them: 768×768 text to image (shown in first tweet) 512×512 base model. Use it for faster results or to use less memory. In-painting specialist model. x4 upscaler (Depth-Estimation coming soon!)
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Stable Diffusion 2 Depth Estimation Coming to Diffusers
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The last model performs depth estimation to create high quality image masks. Coming soon to diffusers! For in-detail information and examples check the Stable Diffusion 2 doc page: https://
huggingface.co/docs/diffusers
/api/pipelines/stable_diffusion_2
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Diffusers Adds Native Stable Diffusion 2 Support
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Diffusers supports Stable Diffusion 2 ! Run @StabilityAI
's Stable Diffusion 2 with zero changes to your code using your familiar diffusers API. Everything is supported: attention optimizations, fp16, img2image, swappable schedulers, and more -
Making the IDE the Prompt: Beyond Traditional Prompt Engineering
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Completely eliminating prompts may not be possible: that is basically solving alignment, and that is AGI-hard (
https://
x.com/swyx/status/15
85810989521379329?lang=en
…) But we could take a page from @ryanjsalva
's Copilot and @nbaschez
's http://
Lex.page, and *make the IDE/UI the prompt*: -
Inquiry About LangChain Implementation in Project
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This is awesome! Ooc, are you using langchain under the hood or your own implementation?
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LangChain Overview by Shubham Saboo Appreciated
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A good overview of LangChain by @Saboo_Shubham_ ! Thanks for the write up 🙂
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ASR Corpus Creator Utility by Yehor Smoliakov
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You can also use awesome utilities like the one @yehor_smoliakov has created: https://
github.com/egorsmkv/asr-c
orpus-creator
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Fine-tuning Speech Recognition Models with Open Datasets
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This is a challenge for sure. However, in some cases it is possible to find an academic/ open source dataset for the language that you’re interested in fine tuning. There is also always the possibility of using a Wav2Vec2.0 checkpoint to transcribe YT videos & use that.