KX’s Post

Generative AI Use case without Hallucination : Temporal similarity search (TSS)— Enables to detect patterns efficiently and at scale, without the need for complex machine learning algorithms.

🚀 Powering Recommendations with K-Nearest Neighbors (KNN) In the world of recommendation systems, K-Nearest Neighbors (KNN) is a classic and powerful algorithm, widely used for collaborative filtering. By finding "neighbors"—users with similar tastes or items similar to what a user likes—KNN creates personalized recommendations with surprising accuracy. Here’s how it works: 🔹 User-Based KNN: Finds users with similar preferences and recommends items they liked. 🔹 Item-Based KNN: Recommends items similar to what a user has already enjoyed. While KNN shines with interpretable results and ease of use, it does have limitations in terms of scalability for massive datasets. However, for smaller datasets, KNN remains a reliable choice. Whether you’re new to data science or an industry pro, KNN is a valuable algorithm to understand! What’s been your experience with KNN in recommendation systems? #DataScience #RecommendationSystem #KNN #MachineLearning #AI #Personalization

Through feature engineering techniques, ML algorithms can extract meaningful insights from raw data and transform it into a format that enhances predictive performance. This process helps ML algorithms focus on the most relevant information for making accurate predictions while filtering out noise and irrelevant data. This post was synthetically created. #BAMmoney #AI #ML #LSTM #AltData #Backtesting #ActionableInsights #QuantifiableAlpha #VerifiableAlpha #TradingData #TradingProfessionals #ComplexPatternDetection #MLAlgorithms

Gretel has launched the world's most extensive open-source Text-to-SQL dataset, encompassing 100,000+ synthetic samples across 100 sectors. Now available on Hugging Face under the Apache 2.0 license, this release breaks down barriers in AI training data access, empowering businesses to leverage AI to its fullest extent. Crafted by Gretel Navigator, our cutting-edge compound AI system, this dataset combines agent-based execution, exclusive models, and privacy-enhancing tech. This milestone marks a leap forward in data-centric AI adoption, paving the way for businesses to unleash the true power of their data #Gretel #AI #TextToSQL #OpenSource

🚀 DeepSeek Releases DeepSeek-V2 - Setting New Benchmarks in ML Innovation! Excited to share that DeepSeek has just unveiled DeepSeek-V2, an innovative Mixture-of-Experts (MoE) language model that's pushing the boundaries of efficiency and performance! 📈 Key highlights: 🧮 Powerful yet Efficient: 236B total parameters but only 21B activated per token - achieving stronger performance while using less compute 🔋 42.5% lower training costs vs DeepSeek 67B 💨 5.76x faster inference speed 📏 128K context length 🎯 Best-in-class performance on key benchmarks like MMLU The secret sauce? Two major innovations: 1️⃣ Multi-head Latent Attention (MLA) - Reduces KV cache by 93.3% while improving performance 2️⃣ DeepSeekMoE - Enables economical training through smart expert specialization Want to explore it yourself? Check out the model on GitHub: 🤗 https://lnkd.in/gWUNbiM2 This is a major step forward in making large language models both more powerful and more practical to deploy. Kudos to the DeepSeek team! #AI #MachineLearning #Innovation #DeepLearning #LLM #Technology Thoughts on what this could mean for the future of efficient AI deployment? Let me know in the comments! 💭

Through feature engineering techniques, ML algorithms can extract meaningful insights from raw data and transform it into a format that enhances predictive performance. This process helps ML algorithms focus on the most relevant information for making accurate predictions while filtering out noise and irrelevant data. This post was synthetically created. #BAMmoney #AI #ML #LSTM #AltData #Backtesting #ActionableInsights #QuantifiableAlpha #VerifiableAlpha #TradingData #TradingProfessionals #ComplexPatternDetection #MLAlgorithms

I am honoured to have participated as a speaker at the "2nd Global Webinar on Artificial Intelligence and Data Science". The title of my presentation was "Generative AI and its Challenges In financial Services. (FSI)." #ArtificialIntelligence #AI #GenerativeAI #LLM #Chatbot #PromptEngineering #HKConferences

🌟 #Excited to #Announce! 🌟 Just completed the "#BuildingYourFirstRAGSystemusingLlamaIndex" course! 🛠️💡 This course was an incredible deep dive into Retrieval-Augmented Generation (RAG) systems, expanding my knowledge of how to efficiently handle and retrieve large datasets for AI applications. 🚀 Looking forward to applying these skills in upcoming projects! #RAG #LlamaIndex #AI #DataScience #MachineLearning #TechJourney