LangChain version 0.0.11: – @CohereAI embedding support from @abdrahman_issam – @NLTK_org and @spacy_io support for text splitting from @deliprao "Optimized Prompts" from @sjwhitmore misc cleanup from @deliprao and @nlarusstone https://
github.com/hwchase17/lang
chain
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LLMS
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LangChain 0.0.11 Release: New Embeddings and Text Splitting Features
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Cohere’s LLM Applications Talk at PyData NYC
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Attending @PyData NYC? Join @CohereAI's @hemanham on Nov 10th, 11:45am EDT, where he'll give a "gentle intro" to real-world applications of large language models. No prior knowledge needed! Read more about the talk: https://
nyc2022.pydata.org/cfp/talk/AEFDA
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Making Large Language Models Accessible for Developers
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Learn how Cohere is making large language models accessible and easy to use for all kinds of developers in this talk with @scale_AI
's Head of Engineering, @vjkaruna
, and Cohere's VP of Engineering, @BillMacCartney ↓ -
Dataset Curation Strategy for AI Use Cases
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My rule of thumb: If the use-case doesn’t have a ‘right answer’, or is creative, curate small datasets. If the use-case has a ‘right answer’, lots of data is helpful and a moat will persist for a couple of years until models are ridiculously smart. Applies often but not always
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LangChain 0.0.10: Cloud NLP, Elastic, and Model Laboratory Features
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LangChain version 0.0.10: @cloud_nlp support (
@sjwhitmore
) @elastic support (
@sjwhitmore
) support for text2text generation models on @huggingface (h/t @deliprao 4 idea) model laboratory: easily compare the same input to different models https://
github.com/hwchase17/lang
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Using LLMs to Generate Product Descriptions at Scale
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Learn how to use large language models (LLMs) to generate product descriptions for ads quickly and at scale. Get started ↓ https://
hubs.li/Q01rSBpt0 PS: This social post was generated using text summarization by Cohere. -
Democratizing Speech Technology at Lightning Speed
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Awww! Thanks, Merve!! Looking forward to democratising speech at lightning speed in the coming months <3
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New Spellbook AI Tool from Scale AI Enhances Prompt Engineering
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Just dropped: Spellbook from @scale_AI. Great ideas in here — couples prompts with uploaded training data to automatically write k-shots, give evaluation metrics for prompt variants; also lets you turn prompts to spreadsheet functions https://t.co/hNGNXmGJtV
— Riley Goodside (@goodside) 9 novembre 2022Just dropped: Spellbook from @scale_AI
. Great ideas in here — couples prompts with uploaded training data to automatically write k-shots, give evaluation metrics for prompt variants; also lets you turn prompts to spreadsheet functions -
Formal Informal Languages: Modern Prompt Engineering Approaches
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Formal Informal Languages — An interesting take on (current) prompt engineering https://
flip.it/lmLQod -
ReAct: Synergizing Reasoning and Acting in Language Models
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Learn how ReAct, a general paradigm for synergizing reasoning and acting in language models, presents more interpretable, diagnosable, and controllable task-solving trajectories while outperforming reasoning and acting only paradigms. Read the blog → https://
goo.gle/3TiNcDp