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Sieve's Highlights Beta can identify, extract, and render highlights from a video or audio file based on search phrases provided by the user. It does this by transcribing the file, using an algorithm combined with a language model to identify the most relevant parts of the content, and then rendering the highlights into new content cuts. _______________________________ Get up to speed on the latest developments in tech with our newsletter:  https://lnkd.in/gDkxkJub #techbuzz #techbuzzventures #innovation #technology #ai #aimodels #transcription #speechtotext #artificialintelligence #generativeai #videoediting #socialmedia

Businesses are buzzing about language models and how they can revolutionize their operations. 🐝 Aragon explores three hot use cases in #GenerativeAI where #LLMs are already making waves 🌊 https://lnkd.in/gGBkvM6j

Check out Harpreet Sahota 🥑’s break down of the five vision-language papers you do not want to miss at #CVPR this year! - https://lnkd.in/gpBJ9xgZ * Describing Differences in Image Sets with Natural Language * A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models * Let’s Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation * Alpha-CLIP: A CLIP Model Focusing on Wherever You Want * mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Check out Harpreet Sahota 🥑’s break down of the five vision-language papers you do not want to miss at #CVPR this year! - https://lnkd.in/gpBJ9xgZ * Describing Differences in Image Sets with Natural Language * A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models * Let’s Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation * Alpha-CLIP: A CLIP Model Focusing on Wherever You Want * mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Looking for the most advanced AI-powered transcription and analysis tool? Intelligent Voice uses cutting-edge Generative AI technology to provide the highest quality results with unrivalled accuracy and efficiency. Some of the incredible features that set Intelligent Voice apart from the rest include Rules based LLMs to prevent false results, • Speech-to-Text powered by the latest algorithms • Language ID for multilingual understanding, and Voice Identity Management for enhanced metadata • Text and Voice Based sentiment analysis, all included in our comprehensive solution • Smart Transcriptions with searchable features And many more... For more information visit https://hubs.ly/Q02swRYQ0 #AI #Transcription #Analysis #GenerativeAI #Innovation

"AI For Real And Demo Day": 🚀 Introducing "Coral AI": The Document Summarizer 🚀 📚 Explore limitless possibilities with Coral: Seamlessly upload any PDF – textbooks, contracts, financial documents, and more. Gain deeper insights by asking questions about your document. Search effortlessly using full sentences, not just keywords. Break language barriers with translation in 90+ languages. Watch how to actually use Coral AI to create an "outline" from any of your documents. The demo is now 'Live' on our Discord Channel. And, surprise, surprise. There's a discount on Coral AI exclusively for AI For Real community members for a limited period! Here's Our Discord Link: https://lnkd.in/dQhqc68M (Disclosure: Some of the links on this page are affiliate links, meaning we may earn a commission if you click on the link and make a purchase.) #AI #Innovation #DemoDay #aiforreal #aiforgood

In my latest video, I delve into various encoding techniques such as Label Encoding, Ordinal Encoding, One-Hot Encoding, Dummy Encoding, Binary Encoding, Base-N Encoding, and more. Understanding categorical data, divided into distinct groups or categories, is essential. Properly encoding these variables is crucial for model compatibility, enabling mathematical operations, and boosting model performance. This ensures better accuracy and helps evaluate the impact of features on predictions. Discover advanced strategies like Target Encoding for capturing complex feature-target relationships and see how LightGBM optimizes model performance by effectively handling categorical variables. Video Link: youtu.be/MKuAQv6ybc8   Channel Link: youtube.com/@datatrek #datatrek #datascience #machinelearning #statistics #deeplearning #ai

From simple text prompts, V7 Go reasons across your PDFs, images, and videos: to reliably automate repetitive tasks at scale. But how can you ensure your natural language inputs become valuable outputs? We’ve put together the best V7 Go prompts for you to try today. ⬇️ #GenAI #AI #Automation

As Google Assistant puts the power of natural language processing at our fingertips, we discover a world of frictionless interactions and productivity. We can do tasks more quickly and intelligently with the best virtual assistant by our sides, from setting reminders to managing smart home appliances. Hii everyone! Here's my next (5/6) product function teardown as NextLeap #learninpublic challenge of Google Assistant as conversational AI. #productmanagement #conversationalai #ProductFunctionTeardown #learninpublic #nextleap #GrowthStrategy #UserAcquisition

From Text to Context: How Context Makes LLMs Truly Smarter Content is king while context is the Emperor. For language models, understanding and utilizing context effectively can make the difference between generic responses and nuanced, insightful interactions. Context enrichment techniques empower these models to grasp subtleties in language, adapt to diverse scenarios, and deliver more accurate and contextually aware outputs. Here is an attempt at visualizing the Large Language Models' context enrichment landscape (vis-a-vis cost, complexity, effort) - exploring how these advancements are shaping the future of AI-driven communication. #Context #LLM #AI #GenAI #MachineLearning #DeepLearning