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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PROMPT ENGINEERING
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Cohere’s LLM Applications Talk at PyData NYC
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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. -
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 -
Prompt-to-Prompt Brings Image Editing to Text-to-Image Models
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Prompt-to-Prompt — “Brings Image Editing Capabilities to Text-to-Image Models” https://
flip.it/VzV4OT -
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 -
Command Beta: New Zero-Shot AI Command Capability Released
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Command Beta now available → a new capability that responds to single-sentence commands (i.e., zero-shot prompts). We have some sample shots to get you started → https://
hubs.li/Q01rQq1q0. Sign up to try it out → https://
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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 -
Human-AI Collaboration Improves Task Performance Through Simple Chat Strategy
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Our experiment shows that through a simple strategy – having humans chat with models while completing a task – we can help humans perform better at these tasks. This is very encouraging, albeit preliminary!
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Leveraging Model Capabilities While Maintaining Supervisory Control
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This is tricky: To do this, we’ll need ways for the human who’s supervising the model to use any relevant knowledge or skills that the model already has, even though they can’t trust the model to be reliably helpful.
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Cohere NLP JumpStart Webinar with TechCrunch and Google Cloud
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Cohere is helping developers and startups build meaningful apps with language AI. Join us for an #NLPJumpStart session with Kemi Tijani, who will host the @TechCrunch webinar available on November 10, 2022, in partnership with @gcloudpartners
. → https://
hubs.li/Q01rFN3w0