RMBG 2.0 is?trending in the top 5 models on Hugging Face! ?? The community response has been mindblowing and we're just getting started! Our tool is a game-changer for users looking for an accurate background remover. Curious to try it out? Here's how you can: ? Open-source model for non-commercial use* on Hugging Face: https://go.bria.ai/4ep8udg ? Documentation: https://go.bria.ai/40JEnu0 ? API Sandbox: https://go.bria.ai/4fhfsSO Read more here: https://lnkd.in/dxBVsXrh We can’t wait to hear your thoughts! Let us know in the comments below. ?? #AI #GenAI #BackgroundRemoval #TechInnovation #StateOfTheArt #GenerativeAI
BRIA AI的动态
最相关的动态
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?? Llama 3.1 has arrived, and it's a game-changer! ?? 128,000 token context window? Check. ?? Knowledge up to December 2023? You bet. ?? Open source and free to use? Absolutely. ?? Three sizes to fit your needs: 8B, 70B, and a whopping 405B parameters. ?? Outperforming paid models on benchmarks? It's doing that too. ?? But here's the twist: With such power in open hands, what will YOU create? ?? Available now on Hugging Face - dive in and explore the possibilities! #Llama3 #AI #OpenSource #MachineLearning Want to know more? Swipe through for 5 key facts that'll blow your mind! ??
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?? Demystifying AI Model Metrics: A User-Friendly Guide ?? In today's tech-driven world, AI models are everywhere, but understanding their metrics can be daunting. Let's bust some myths and make it simple! ?? 1. Quality vs. Price: It's easy to assume that the most expensive model is the best. However, the Ministral 3B and Llama 3.2 1B models offer outstanding quality at a fraction of the cost. ?? 2. Speed and Latency: Speed isn't just about how fast a model processes tokens. Output speed, like that of Llama 3.2 1B, and latency, exemplified by Gemma 2 9B, are crucial for real-time applications. ?? 3. Context Window: Bigger isn't always better! While the Gemini 1.5 Pro boasts a large context window, the right choice depends on your specific needs. ?? Graphs comparing these metrics reveal insights you might not expect. ?? By analyzing quality, price, and speed, you can find the model that truly fits your needs. Stay updated on the latest AI analysis by following us on Twitter or LinkedIn. Together, we can navigate the complex world of AI with confidence! #AIMetrics #TechInsights
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You DON'T NEED SIGNALS, you can have AI research a company and tell you all YOU need to know, not what everyone else needs to know... here's how... Agents can do A LOT and are very capable, but you need to deploy a framework I developed called the 3Cs... Creative: Let the models surprise you! Unleash their creativity. Constraint: But to do so, you MUST CONSTRAIN how they surprise you. Formats matter. (with) Context: And they must have context on the PURPOSE of your task so that if things are on the margin, they can make a game time call on what IS and ISN'T useful This is part of the Agent 7 Course: https://lnkd.in/gtY5F3T5 Buy here for $299... ~90 people can't be wrong: https://lnkd.in/gE34GfxH
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An interesting video that's definitely worth watching! Do you agree on these trends? What is your addition to this list? I believe AI should prioritize building human trust while enhancing explainability and interpretability. However, I’m unsure if this will emerge as the next trend. https://lnkd.in/gD9kzcqv
AI Trends for 2025
https://www.youtube.com/
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Annie: 5.AI_Powered_Candlestick_Pattern_Recognizer_and_Market_Predictor_with_Generative_AI ??? Excited to share my latest AI project! ???? Introducing AI-Powered Candlestick Pattern Recognizer ?????, a tool that detects key candlestick patterns like the Hammer Pattern ?? in stock prices to identify potential bullish reversals! ???????? With real-time analysis and insightful visuals ?????, this tool aims to assist traders in making smarter decisions. The example here shows 17 Hammer Patterns detected for $AAPL, providing a glimpse into potential trend shifts. ?????? Check out the analysis—turning data into actionable insights! ?? Code---[https://lnkd.in/gGEnNNVj] #AI #StockMarket #FinTech #MachineLearning #Innovation ?? Feedback or thoughts? Drop them below! ???
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AI tools are only as good as the data we feed them, and can easily return some pretty weird and wonderful results depending on what information they have at hand. The take-away is that even though “intelligence” is in the name, there isn’t actually any intelligence there (yet), the AIs just recognise patterns and use those patterns to create outputs based on what we request. Thanks to Mark Chatterton from inGeniousAI for sharing some of his wisdom at last? month's event. For more info, or to attend our next event as our guest, don’t hesitate to get in touch. Learn more at our website: https://lnkd.in/g53ruUUf #businessnetworking #businesscommunity #professionaldevelopment Robert FORD Wendy Born
AI isn't "intelligence" (yet)
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3AI has unlocked deeply scalable, long-term alpha while enhancing shorter-term strategies with minimal forecast adjustments. This long-term alpha source is derived from the wealth generation (and destruction) of the underlying company machine and this provides an orthogonal alpha flow that shorter term positions can ride. ?? The graph below represents the one-year trajectory of nearly 5 million stock forecasts since we went live. By categorizing realized stock performance into deciles using our Alpha Intelligence rating, we've made it easier to evaluate the outcomes. ?? When analysing the annualised rate of returns over time, the results are clear: the spread of “alpha” generation only marginally declines over time from the point of signal. This reinforces the precision of 3AI Alpha’s data-driven approach to uncovering high-performing investment opportunities. Find more insights on 3AI data here: https://lnkd.in/dFXjgj6j #SmartAlpha #Quantitative #Strategy #InvestmentSolutions #AI #MachineLearning #Investing #DeepFactorAI #AIinFinance #DataInnovation
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[ECONOMIX REVIEW] In this edition of #EconomixReview, we’ll be taking a look at the implications of the rapidly expanding implementation of Artificial Intelligence (AI) in the corporate world. Just as how the dot.com bubble enamored the world in the early 2000s, the recent surge of AI backed systems have driven a lot of bullish investing into the technology. While all this has allowed for massive strides in the tech industries, it seems as if nothing but a passing trend that gets picked up and put back down by all but the biggest financial institutions. With the unknown right up in our faces, it serves our interests to be cautious on the use of AI as there are genuine risks to reckless integration. Find out more about today's Economix Review on Medium https://lnkd.in/gQPsg-yX For more information, reach us through: Givenda (+6281383466442) Shidqy (+6281284378800) Linkedin: ECONOMIX FEB UI Twitter: economixfebui Facebook: Economix FEB UI Line@: @235htiqg Instagram: @economixfebui #The22ndEconomix #ESPIRIT
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? ????????-???????? ?????????????????????????? ???????? ?????? ?????????????? ???????????? ???? ???????? ??.?? ??????????????! ? Over the past 30 days, we’ve processed thousands of interactions with our digital humans and we’re excited to share that the average response time is just 1.4 seconds! It is about the time it takes to snap your fingers. ?? Think about it: in the blink of an eye, our system processes speech (??????????????????????), generates a personalized response (????????????), generates a voice (????????????), generates the video response (??????????), and streams a seamless, real-time interaction back to the user. This level of speed ensures every conversation feels natural, smooth, and engaging. A huge shoutout to our team at Beyond Presence for making this possible. Your hard work is redefining what’s achievable in real-time AI. ?? Curious to try it for yourself? Experience the magic here: https://bey.chat/ Felix, Lucas, April, Rachmadio, Karthik, Shehroz, Ege, Nicola, Anna, Pamela #ConversationalAI #DigitalHumans #RealTimeAI #Innovation #BeyondPresence #Avatars #Video #Interactive #AI
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Day 10 of #21daysofGenAI challenge: ? Explored various methods for Domain Adaptation, knowing when to apply each. ? Went through BloombergGPT use-case to understand how it leverages domain specific pretraining to excel in various tasks within the financial industry. ? Practiced more Streamlit features, including chat elements. #generativeai #llms #streamlit #ai
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