Anas Farah

🚀Introducing MIND: The most powerful AI Recommender for talent matching! Over the past few months, our Index.dev product team, led by Andi Stan, teamed up with Mihai Gheorghe, PhD and his brilliant crew to create something that once seemed impossible. Together, we built MIND, a groundbreaking tool that uses advanced AI/ML algorithms and LLMs to understand your natural language job posting and match it with 5 curated candidates from vetted Index Talent Network. Here’s what MIND can do: 🎯 Instantly match vetted candidates to your job description. 🎯 Understand not just skills, but the context of how and where they’ve been applied. 🎯 Offer interview-ready candidates verified for their English, past experience, and teamwork. 🎯 Evaluate other nuanced requirements like problem-solving, cultural fit, industry affinity, and even mentoring aptitudes. And all of this in just 30 seconds. We launched the Alpha version this week with early access for exclusive partners. If you’re a Tech Lead, CTO, or Tech Recruiter, we’d love your feedback. Join the whitelist here ➡️ https://lnkd.in/dpPhuPvd #talentmatching #AI #hiring

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Kyle Poyar recently shared some counterintuitive advice on building AI products. He pulled insights from 20+ product builders including Scott Belsky, Elad Gil, Rahul Vohra and Sarah Guo. Here are some insights that were shared: 1. Think differently: ↳ Data and interfaces may outweigh models in importance. ↳ Companies with deep vertical data understanding will lead. 2. Solve real problems: ↳ Cool AI demos ≠ user value. ↳ Focus on pain points and delightful experiences. 3. Prioritize design: ↳ Great UI/UX can impact metrics as much as model improvements. ↳ Guide users through AI's open-ended nature. 4. Value proprietary data: ↳ Unique, structured datasets are gold. ↳ They may become more valuable than the models themselves. 5. Segment by attitude: ↳ Consider AI embracers vs. skeptics in your testing. ↳ Don't let averages mislead you. Definitely worth reading Kyle’s post: https://lnkd.in/eHYb7Fxn There’s A LOT of AI product builders in the Rewardful community… we’d love to hear your thoughts! #AI #ProductDevelopment

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⭕ Netflix recently shared powerful insights into how they’re tackling the challenge of long-term user satisfaction in their recommendation system. Traditionally, recommendation algorithms focus on short-term metrics—think clicks or immediate plays. But Netflix is flipping the script. They recognize that while these metrics matter, they don’t necessarily lead to lasting satisfaction. Their approach is to prioritize what makes users happy over time, not just in the moment. Read the full article here: https://lnkd.in/dMqQ-CHS #ai #business #tech #innovation

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Our founder Michael Lin just finished a podcast with Shaw Talebi discussing the ROI of AI! They explored how businesses can optimize their AI investments for maximum returns. Here were his 3 key talking points: 1️⃣ Two variables affect ROI ROI depends not only on the size of the return but also on the investment. Rather than only aiming for high rewards, consider narrowing the initial investment to make achieving an ROI easier. 2️⃣ What AI excels at AI excels at handling text and paperwork tasks. Audit your business for areas where employees or customers process paperwork, write, read, extract data, or synthesize text—these are prime opportunities for AI to help. 3️⃣ Execution matters AI can deliver ROI, but success requires clear metrics, strong hypotheses, and tightly scoped projects. Agree or disagree? — 📌 Subscribe to our newsletter for weekly deep-dives on enterprise AI use-cases: https://bit.ly/3Znv426

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We had a MASSIVE week at Hyperbolic 🌪️ > 1000+% increase in DAU and WAU over two weeks > Hosted Meta's Llama 3.1 405B unquantized model on day one > Sole provider of Llama 3.1 405B BASE model after X feedback > Integrated with OpenRouter for LLMs > Serving FLUX.1 [dev] open-source image gen model > Mitigated 100M+ request DDOS attack, solidifying our defense > Announced $7M seed fundraising with strong community support The future of AI is collaborative. We’ll keep the momentum and just keep shipping at a hyperbolic speed. Get started with Hyperbolic at app.hyperbolic.xyz 💜 #ai #OpenSourceAI #ArtificialIntelligence #deAI #decentralizedAI #web3 #blockchain #hyperbolic

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What’s the next big moment in Generative AI? Hear predictions and insights from Rodrigo Liang at 11AM PT Wednesday when he speaks at GPT DAO #GENAISummitSF2024. More event info at genaisummit.ai. #ai #artificialintelligence #GenAI #airevolution #machinelearning #deeplearning #futureofai #technews

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Keystone affiliate experts and University of Toronto professors Joshua Gans and Avi Goldfarb, with co-author Ajay Agrawal, offer crucial insights on AI in their latest Harvard Business Review article, "Generative AI Is Still Just a Prediction Machine." Building on their award-winning book "Prediction Machines," the authors explain why viewing AI as a prediction technology remains vital for business strategy. They argue that successful AI deployment demands both quality data and sound human judgment — even for generative AI applications. The article extends their framework, showing how treating AI as prediction helps managers determine when AI will help and when it might fail. Read the full article here: https://bit.ly/3Z6Xko0

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Llama-3.1-Storm-8B has arrived. The buzz is real: we've got a new AI model that beats Meta's Llama-3.1-8B-Instruct and Hermes-3-Llama-3.1-8B in 7 out of 9 benchmarks. If you’re a tech nerd like me, this is big news. For starters, the new model has 8 billion parameters. That means it’s way better at answering your questions, following instructions, and making fewer mistakes. What makes this model stand out? Well, the team behind it used some really smart techniques. They called it “self-curation” and “fine-tuning.” Basically, they made sure the model learned from the very best examples. And they did all this while still making it run well on limited hardware. But wait, there’s more. They also used something called model merging. Imagine blending two strong models together to create something even more awesome. That’s what they did using a technique called SLERP. This melding of models helped it get top scores on important AI tests. Interested? You can check out the model on hugging face at: https://lnkd.in/ebas2jhr Follow Intel Insights for more cutting-edge AI updates and ♻️repost to share with your network. #AI #llm #GenAi #llama

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Day 3 of Launch Week is all about metrics & dashboards. https://lnkd.in/ex3xqSyG We’ve heard your requests for creating visualizations on Highlight data, and we’ve finally got Metrics in beta! First of all, you now have the ability to create visualizations on our specific products. You can even filter & group by particular parameters. Head to https://lnkd.in/einkxXaX to get started. And secondly, you can create these visualizations on 'dashboards' which group these visuals. Lastly, all this functionality is maintained in our Grafana Labs plugin if you prefer to create visualizations there! Check it out: https://lnkd.in/evNYQft8

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Did you know that LLMs love randomness? Check out our latest exciting data story. We experimented to find the favorite numbers of the three most popular Large Language Models (LLMs): ChatGPT 3.5 Turbo, Claude 3 Haiku, and Google Gemini 1.0 Pro. Discover how these LLMs respond to randomness and which numbers they prefer. Learn about the intriguing patterns and insights from varying temperature settings and see what these preferences reveal about their training data. Join us for an in-depth exploration of LLM's Favorite Number! Read More: https://bit.ly/3wU7can #genai #machinelearning #llm #chatgpt #claude #googlegemini #numerology #datascience #techinsights #gramener

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Optimized AI Conference will lean into 12 topics: 1) Deep Learning 2) LLMs + RAG 3) Multimodality 4) AI Consulting 5) AI Startups 6) Data Processing 7) ML/LLM Ops 8) Career Optimization 9) Agents 10) AI Leadership 11) Venture Capital 12) Inference Optimization Build your knowledge, generate your business impact, and generate revenue with #AI in April 2025.

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💡 In this AI User Group meetup replay, Yuliya Chumachenko from Higgsfield AI shares invaluable insights on how Higgsfield AI's video model is revolutionizing content marketing at scale. 📽️ Discover how AI can empower you to: 💰 Save costs and create millions of videos instead of just one 💡 Unleash your creativity while AI handles the execution 🎯 Personalize your videos to showcase your product in the best way 🔁 You can catch the full replay in the comments section below. 👇 🤔 How do you see AI transforming your content marketing strategy? Share your thoughts and let's discuss! #AIUserGroup #AIForMarketers #AIForDesigners #AIForDevelopers #ContentMarketing #AIRevolution Higgsfield AI

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We Outperforms Wall Street and Alternative data providers on Alphabet Inc.'s Q2 Earnings Predictions 🏆 Who predicted Alphabet Inc.'s Q2 KPI's with the highest accuracy? Our prediction AI did. The numbers speak for themselves. Total Ads Revenue: Our prediction of $64.416B was only 0.3% off from the actual $64.616B, while alternative data providers were estimating $64.390B. Total Revenue: Ubineer's AI projected $84.836B a fraction away from Alphabet Inc. reported revenue of $84.742B.Our AI significantly surpassed the Wall Street consensus number of $84.290B. Why does accuracy matter? Because it translates to better-informed models that help predict the free cash flows of the company. Let Ubineer Corp. be your AI advantage in the market. #AI #PredictiveAccuracy #EarningsSeason #Outperform #altdata #wallst

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AI is moving beyond task automation into a world of agentic workflows—where AI can observe, plan, and act autonomously. This transformation promises to redefine industries and how we work. In his latest talk at Sequoia Capital’s AI Ascent, AI pioneer Andrew Ng outlines how agentic workflows will shift AI from passive tools to active decision-makers. If you want to understand what’s next for AI and how it might impact your career or business, this is a must-watch! 🎥 Watch the full talk here: https://lnkd.in/gJfudX_J Join the conversation—what role do you see agentic AI playing in your industry? #AI #FutureOfWork #AgenticAI #AIAutomation #AITrends #DigitalTransformation #EmergingTechnologies

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