Introducing Voicebox, a new breakthrough generative speech system based on Flow Matching, a new method proposed by Meta AI. It can synthesize speech across six languages, perform noise removal, edit content, transfer audio style & more. More details on this work & examples
GENERATIVE AI
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GroqSpotlight June 29: AI Inference and LLM Insights
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Mark your calendar for our next #GroqSpotlight on June 29, and view our May GroqSpotlight: Quenching AI Thirst with Inference for insights from our #LLM discussion.
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Golden Retriever Imagined as Human by Midjourney AI
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Dogs being Human, midjourney AI 1. Golden Retriever
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Anthropic Launches Trust Portal for Certifications and Compliance
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Introducing our new Trust Portal, a way for you to easily find information about our certifications and compliance policies. We're excited to support use cases across a wide range of industries. https://
trust.anthropic.com -
Anthropic Proposes Enhanced Security Controls for Frontier AI Models
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Our current public controls are just the start. Anthropic is advocating for a level of security beyond what existing compliance requires, including two-party controls. See our full proposal for frontier model security in Q11 of our recent NTIA comment: https://
cdn2.assets-servd.host/anthropic-webs
ite/production/images/Anthropic-NTIA-Comment.pdf
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Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
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Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
— AK (@_akhaliq) 16 juin 2023
blog: https://t.co/cw89vKIAUK
Large-scale generative models such as GPT and DALL-E have revolutionized natural language processing and computer vision research. These models not only generate high fidelity… pic.twitter.com/vkHyOEvpVBVoicebox: Text-Guided Multilingual Universal Speech Generation at Scale blog:
https://ai.facebook.com/blog/voicebox-generative-ai-model-speech/
… Large-scale generative models such as GPT and DALL-E have revolutionized natural language processing and computer vision research. These models not only generate high fidelity -
OpenAI Functions Webinar: Use Cases, Tips and Tricks
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We'll likely do our webinar next week on @OpenAI functions and the various use cases for them, and any tips and tricks Hoping to have @fpingham and @jxnlco on. Anyone else doing interesting stuff with them we should get?
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Document Tagging Schema with LangChain Framework
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Tagging Specify a schema and tag a document with those attributes As opposed to Extraction, this extracts only one instance of that schema so its more useful for classification of attributes pertaining to the text as a whole Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/tagging.html
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OpenAI Functions for Structured Data Extraction LangChain
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The new @OpenAI functions are good for other things besides agents Another killer use case is extracting structured information from unstructured docs We've adding support for extraction AND tagging in @langchain – thanks to @fpingham for code and @jxnlco for review
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Entity Extraction with LangChain: Schema-Based Data Parsing
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Extraction Specify a schema – either a dictionary or a Pydantic model – and then extract entities from a piece of text with the same schema This will return a list of objects with that schema Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/extraction.html
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