BABL AI’s Post

Brave: A New Frontier for AI Training Data In the Wild West stolen data everywhere landscape of AI, the quality of training data can make or break a model's performance. Enter Brave Privacy Browser—a game-changer in the realm of data sourcing. With its unique approach, Brave offers an unparalleled opportunity for developers and researchers to access high-quality, privacy-focused training data. Why Brave? Brave's Search API provides a robust platform for gathering diverse and rich datasets while respecting user privacy. Unlike traditional search engines that track and store user data, Brave ensures anonymity, making it an ethical choice for AI development. Harnessing the API The Brave Search API is designed to be intuitive and efficient, allowing seamless integration into your AI projects. It processes inputs and delivers outputs under strict privacy protocols, ensuring that your data collection is both comprehensive and compliant. The Future of AI Training By leveraging Brave's innovative search capabilities, you can enhance your models with data that is not only high-quality but also ethically sourced. This is a crucial step towards building responsible AI systems that prioritize user privacy. Join the movement towards a more secure and transparent AI future with Brave! #AI #MachineLearning #DataPrivacy #BraveBrowser #Innovation https://lnkd.in/gktNwjM5 Zachary Huhn Summer Crenshaw Monica Turner

Hey, you! Check it out! IBM AI free training that focuses on enabling businesses to deploy and manage both traditional machine learning and generative AI, tailored to their unique needs. #ai #business #training #ibm #genai

As we integrate artificial intelligence (AI) into our processes, it's crucial to keep in mind some essential factors. Forbes Tech Council has published a quick article that goes over these critical principles for enterprise AI governance. #governance #AI #watsonx #Security Check it out here: https://lnkd.in/em3_smcC

As #ai takes a front row seat to many of our business applications, we should always be mindful of the rules and regulations that govern the data within our enterprises. Check out the Forbes article below #governance #AI #watsonx #security #aiforgood #ethicsinai

The training data dilemma outlines the limitations of the AI hype. It doesn't take being trained on all the data in the world in order for a child to create. Yet, all we hear now is that the LLMs have run out of organic data and all the companies are rushing to create synthetic training data, which will, inevitably, corrupt the base AI. A child still beats an LLM, no matter how well it predicts next words in a sentence.

I have learned a ton about machine UNLEARNING or the challenge of trying to make #AI forget from my Harvard Business School colleague Seth Neel. In this very interesting interview, Seth discusses the often overlooked challenge of making AI forget and the implications for businesses, regulators, and society at large. The sheer scale of data involved in training these models means traditional methods of data removal are not just impractical; they're impossible. Machine unlearning offers a pathway to compliance, innovation, and ethical AI use, balancing the scales between leveraging data and protecting privacy. As AI continues to shape our future, the ability to forget becomes as crucial as the ability to learn. Digital Data Design (D^3) Institute at Harvard #AI #DataPrivacy #MachineLearning #GenerativeAI #EthicalAI

🤔💡Ever wonder if AI can forget things? Spoiler: It can, but it’s way harder than misplacing your car keys! Here’s why AI ‘unlearning’ is fascinating and vital: 1️⃣ Bad Data Detox: Sometimes AI soaks up outdated or biased info—like getting bad life advice from that one friend. Unlearning helps clear that up while keeping the useful knowledge intact! 🧠🧽 2️⃣ Memory Makeover: AI either gets its memory reprogrammed or just gets a little nudge to steer clear of what’s bad. 🤖✨ 3️⃣ Tricky Balance: It’s like trying to forget an embarrassing moment but not your whole personality! Unlearning is tricky – we want to remove the bad without messing up the good! 🎯⚙️ #AI #MachineLearning #Innovation

Many GenAI users aren't aware of this issue: Out-of-domain tasks. It refers to situations where you give an AI a task that would need knowledge that is outside it's training data. The more the data deviates... The more unpredictable the AI's predictions become. Remember, a Large Language Model is just a sophisticated word predictor. When dealing with out-of-domain tasks, consider these strategies: For those who can influence AI training: - Diversify training data or fine-tune. - Explore continuous learning (more complex). For most users without control over AI training: - Pick the right LLM for your needs (specialized models aren't always better). - Guide the AI within your prompt. - Enhance the LLM's knowledge by providing context in prompts, searching the web for new info, adding external documents, or accessing databases. A contrarian stance? Sometimes, out-of-domain scenarios are beneficial. For creative tasks, the AI's unexpected 'hallucinations' can be quite inspiring. What now? I've added this new Danger Zone card to the GenAI deck So, you, your teams, or your clients can now plan effectively for out-of-domain tasks. With the next update, this card will be available in the high-quality GenAI Card Deck file, which includes... unlimited updates for free! Oh, am I being too generous?

📢 Check out this insightful article on "Leveraging Proxy Networks for AI Training". The article delves into how proxy networks are revolutionizing AI training. It covers the role of proxies in data acquisition, improving model accuracy, and streamlining AI development. Key takeaways include: 🔹 The importance of proxy networks in obtaining diverse, high-quality data 🔹 Benefits of proxies for secure and efficient data scraping 🔹 Real-world applications and success stories Explore how these tools can enhance your AI training and development efforts. Read the full article here: https://lnkd.in/dqTVpg_C

Unlearning is never easy.