Dhiraj Patra

Read our new Blog on - "Power of Vector Databases: A Python Example" https://lnkd.in/dZbXUe_B In the realm of data retrieval, vector databases are emerging as game-changers. Unlike traditional relational databases, vector databases excel at storing and searching high-dimensional data – think image features, text embeddings, and more. For more detailed Blog, please refer to our Website's Blog Section. https://lnkd.in/dZbXUe_B #TBC #VectorDatabase #Python #AI #MachineLearning #NLP #InformationRetrieval #Search #DataScience #DevOps #Windows10 #Microsoft #Windows11 #Windows10Pro #Angular #GooglePlay #agile #s #socialmedia #CyberThreats #digitalwellbeing #csharp #DotNet #softwaredevelopment #programming #vr #coding #webdevelopment #app

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[NEW COUPON] 2025 Fine Tuning LLM with Hugging Face Transformers for NLP Course Master Transformer models like Phi2, LLAMA; BERT variants, and distillation for advanced NLP applications on custom data Created by Laxmi Kant | KGP Talkie | 16.5 hours on-demand video course | 1 downloadable resource Fine Tuning LLM Course Overview Welcome to “Mastering Transformer Models and LLM Fine Tuning”, a comprehensive and practical course designed for all levels, from beginners to advanced practitioners in Natural Language Processing (NLP). This course delves deep into the world of Transformer models, fine-tuning techniques, and knowledge distillation, with a special focus on popular BERT variants like Phi2, LLAMA, T5, BERT, DistilBERT, MobileBERT, and TinyBERT. Get Udemy Coupon Code: https://lnkd.in/dr_KGEfw #LLM #Huggingface #NLP 

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In the last year or so the #KnowledgeGraph community has seen a rise of enthusiasm over making #LLMs & KGs collaborate. This technical text bridges the gap between theoretical talk & practical, real-world application by showcasing how to use #GraphDB's vector capabilities to build a simple RAG retriever over a KG, using open, offline LLM models. https://hubs.la/Q02yRcSy0 #AIinAction #entitylinking #NLQ

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In the last year or so the #KnowledgeGraph community has seen a rise of enthusiasm over making #LLMs & KGs collaborate. This technical text bridges the gap between theoretical talk & practical, real-world application by showcasing how to use #GraphDB's vector capabilities to build a simple RAG retriever over a KG, using open, offline LLM models. https://hubs.la/Q02yRr7s0 #AIinAction #entitylinking #NLQ

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⌛ Don't miss Agriya Khetarpal's session on Python in WebAssembly via Pyodide at #PyConIndia2024.📊 Discover how the PyData ecosystem is evolving for the web! ➡️ https://in.pycon.org/2024/ #SciPy #OpenSource

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Implementing Advanced Agentic Vector Search with CrewAI and Qdrant Check out this comprehensive guide by M K Pavan Kumar on setting up an advanced vector search system using CrewAI and Qdrant. It outlines creating a fully autonomous agentic application capable of performing complex tasks such as vectorizing queries and retrieving similar documents. Here’s a snapshot of what you’ll learn: Core Components: - CrewAI Framework: This framework enables intricate interactions between AI agents, each with specific roles and objectives, to collaboratively perform tasks. - Qdrant Integration: Qdrant is utilized as the document store for efficient vector search operations. - Sequential Task Execution: Demonstrates the setup and execution of tasks in a defined order, enhancing workflow efficiency. Key Highlights: - Vectorization and Search: Learn how to configure agents to convert queries into vector embeddings and perform searches in the Qdrant database. - Environment Setup: Detailed instructions on setting up your environment, including API keys and embedding services. - Scalable Deployment: Insights on containerizing and deploying the application in Kubernetes environments for scalability. This guide provides a step-by-step walkthrough for developers looking to implement advanced vector search capabilities in their AI applications. The full article: https://lnkd.in/e-mZXWFk _____________ ✔️ Click "Follow" on the Cohorte page for daily AI engineering news. Credits: M K Pavan Kumar

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🎯 Open Source Data Platforms: From Complexity to Clarity An excellent presentation by Priyanka Naik on building robust data platforms using open source tools. Key insights shared: 📊 Transitioning from batch to real-time streaming 🔄 Modular architecture for better maintainability 🎯 Data catalogs for non-technical user engagement ⚡ Apache Camel connectors for optimized Kafka workflows With 17 years of experience, Priyanka offered valuable perspectives on data democratization and quality management in modern architectures. Watch here: https://lnkd.in/gPcm8sZs #DataEngineering #OpenSource #Kafka #DataPlatform #Engineering

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When working with PySpark on Databricks, performance can sometimes become an obstacle. In John Leung's article, look at common bottlenecks and get tips for fine-tuning PySpark jobs to speed up data processing. #PySpark #Python

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📢 #aMPSalem India August 27, 2024 Paul Swider presents Semantic Kernel and Agentic Algorithms for .NET Developers Join Paul Swider for an advanced session on mastering the Semantic Kernel and agentic algorithms in .NET. Dive deep into the Semantic Kernel's architecture, uncovering how to integrate large language models with mission-critical .NET applications. Learn to create, deploy, and manage powerful native plugins using c#. Additionally, delve into advanced topics such as agentic solutions, intelligent planning, and prompt engineering. This session is tailored for developers who aim to elevate their .NET skills with advanced AI capabilities. Don’t miss this opportunity to push the boundaries of your development skills and enhance your expertise. 📅 Agenda is here: https://lnkd.in/e9RuwtWz 📅 📱App is there: https://lnkd.in/eFt4mHCg 📱 ➡️ Registration is open here: https://lnkd.in/dRHbm5CR ⬅️ Looking forward to see you there for a great mix of #Azure & #AI, #Microsoft365 and #PowerPlatform #MVPBuzz #Microsoft

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📖 𝐍𝐄𝐖 𝐛𝐥𝐨𝐠 𝐩𝐨𝐬𝐭: SCA tools are ideal companions for AI/ML engineers. AI/ML applications increasingly rely on open-source libraries and third-party packages, leading to potential risks and vulnerabilities. In this insightful piece, Prabhu S. shows how SCA tools, like Backslash, can help identify and mitigate these risks, ensuring secure and efficient AI application development. 👉 Read the full blog here: https://lnkd.in/dnsPKVsi #SCA #CyberSecurity #OpenSource #AppSec #Backslash

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Explore a method that leverages OpenAI’s Large Language Models (LLMs) and Gemini to automatically generate #KnowledgeGraphs from textual and visual data. Thank you, Shubham Shardul, for this blog! https://bit.ly/4bGL01U #LLMS #graphdatabase #GenAI OpenAI

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Thank you, Sion Smith, for having us! 🎙 In this talk, Yingjun Wu introduces RisingWave, a scalable streaming database that utilizes #S3 as its primary storage. From underlying technology to real-world scenarios, Yingjun illustrates how RisingWave supports heavy traffic workloads in enterprise-grade production environments. #risingwave #streamingdatabase

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Innovations in #artificialintelligence and #naturallanguageprocessing are expected to bridge existing gaps, particularly in domains like skill taxonomies and digital twin data sharing. The Semantic Web is poised to transform how we interact with data on the Internet, offering new opportunities for innovation and efficiency. Understand what is Semantic Web, What makes the difference in “Semantic Web”? The Evolving Vision of the Semantic Web, and more. https://lnkd.in/gM7Zu9WX #semanticweb #semanticatechnology #innovation #digitaltwins #AI #latestarticle Nwachukwu Ebenezer

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Traditional SQL struggles with complex datasets. In their latest blog Alagappan Ramanathan and Sainadh Thikkireddi explore how Snowflake Cortex's Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) simplify data querying for everyone. In this blog, you'll learn about: - Setting up a Snowflake database for intelligent search - Building a powerful vector store for efficient retrieval - Leveraging LLMs for natural language querying and analysis - Key advantages and considerations of LLM integration Read the full blog to boost your data analysis skills – https://lnkd.in/gE39WuVT #Snowflake #SnowflakeCortex #RAG #LLMs #DataQuerying #SQL #AI #MachineLearning #ML #DataAnalysis #NaturalLanguage #DataScience #Blog #Expertise #USEReady 

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Apache Spark has been one of the leading analytical engines in recent years due to its power in distributed data processing. John Leung examines different common performance issues in data processing with PySpark on Databricks. #PySpark #Python

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