2/5 With LLMs, text generation is now a focal field of study in prompt engineering. By providing a context for the model, we can generate specific sequences of text, such as introductory paragraphs of blog posts or creating engaging chatbot responses.
GENERATIVE AI
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LLMs for Text Summarization: Condensing Documents Efficiently
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3/5 Another use case for LLMs is text summarization. Given a few examples of a full document and its summary, LLMs can condense various documents, such as customer support chats or earnings calls, providing succinct summaries that aid in comprehension.
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LLMs Excel at Text Rewriting Tasks
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4/5 Text rewriting is a task where LLMs excel. From correcting spelling and grammar errors in voice-to-text transcriptions to paraphrasing complex text into digestible forms, the applications are numerous.
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LLMs Transform NLP Landscape with Generative AI Capabilities
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1/5 The recent evolution of large language models (LLMs) & generative AI is transforming the landscape of natural language processing (NLP). LLMs can handle a range of NLP use cases, making them an indispensable tool for tasks like generating original and coherent text.
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Generative AI Race Environmental Cost Revealed
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The Generative #AI Race Has a Dirty Secret https://
bit.ly/3JWWiEU via @WIRED #ClimateChange #CarbonEmissions -
Closing the capabilities gap between open and closed language models
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Build better base models. “there exists a substantial capabilities gap between open and closed LMs that, with current methods, can only be bridged using an unwieldy amount of imitation data or by using more capable base LMs.”
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ChatGPT Introduces Sharable Conversation Links for All Users
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Covered: ChatGPT releases sharable links to all users. Check a shared link from TestingCatalog inside https://
testingcatalog.com/chatgpt-introd
uces-sharable-links-for-users-explore-and-manage-conversation-sharing-features/
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Why Train Your Own LLM: Strategic Benefits Explained
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Why did we train our own LLM? Why might this be a good idea for you?
— Replit ⠕ (@Replit) 26 mai 2023
Turns out there are a bunch of reasons!
If you want more, watch the AI panel with Claypot AI co-founder Chip Huyen, in conversation with Replit’s Amjad Masad & Michele Catasta.https://t.co/sLzgzpxyKJ pic.twitter.com/DjHv3i4wPuWhy did we train our own LLM? Why might this be a good idea for you? Turns out there are a bunch of reasons! If you want more, watch the AI panel with Claypot AI co-founder Chip Huyen, in conversation with Replit’s Amjad Masad & Michele Catasta. https://
youtube.com/watch?v=zXX0I6
dOPYk
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Visual Language Models Enhance Reasoning on Charts and Plots
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Visual language uses pictorial symbols outside of text to convey info & is common in both digital life & the real world. Learn about two models that enhance reasoning on visual language data, such as charts and plots, for state-of-the-art performance → https://
goo.gle/3OHZred -
Snorkel AI highlights data-centric AI and LLM specialization
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Thank you to @Microsoft for Startups for helping the Snorkel AI team highlight the power of data-centric AI and commitment to an open ecosystem at Build 2023. "Hosted #LLMs are powerful "generalists" that do amazing things out of the box. When it comes to building "specialists"