CS Vishal Rout’s Post

🤖 AI Agents: Changing the Way We Work 🤖 AI agents are transforming business operations by automating tasks, providing insights, and boosting efficiency. Here’s how they’re making a difference: 1️⃣ 𝗧𝗮𝘀𝗸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: AI agents handle repetitive tasks like scheduling and email management, freeing up time for more important work. 📅✉️ 2️⃣ 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: They analyze data at lightning speed, delivering actionable insights to help businesses make smarter decisions. 📊⚡ 3️⃣ 𝟮𝟰/𝟳 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: You can set up AI-powered chatbots in no time to provide 24/7 personalized customer support, enhancing user experience and satisfaction. 🤖💬 As AI evolves, these agents will play an even bigger role in streamlining workflows and driving growth. 💬 Have you started using AI agents in your business? Share your experience in the comments! #AI #AIagents #Automation #Innovation #Efficiency

Curious how generative AI can level up your business? Discover how GenAI is revolutionizing industries by creating original content, from text to images, and how businesses are leveraging GenAI to streamline operations, enhance creativity, and improve customer experiences. It's a game-changer for personalized marketing, customer service, and so much more. https://hubs.ly/Q02V3Nct0 Plus, get insights into real GenAI use cases in our guide that answers your 10 burning questions about GenAI. #GenerativeAI #AIInnovation #AWS #TechTrends #DigitalTransformation

Curious how generative AI can level up your business? Discover how GenAI is revolutionizing industries by creating original content, from text to images, and how businesses are leveraging GenAI to streamline operations, enhance creativity, and improve customer experiences. It's a game-changer for personalized marketing, customer service, and so much more. https://hubs.ly/Q02Q65VT0 Plus, get insights into real GenAI use cases in our guide that answers your 10 burning questions about GenAI. #GenerativeAI #AIInnovation #AWS #TechTrends #DigitalTransformation

🚀 Developing a Conversational Chatbot with RAG, Dynamic Session Management, and Streaming UI Output 🚀 I’m thrilled to share my latest blog where I delve into building advanced conversational chatbots that can handle dynamic sessions and provide real-time responses. 🌟 In this post, you'll explore: Retrieval-Augmented Generation (RAG): A powerful approach that blends document retrieval with text generation for more accurate and engaging responses. Chains Approach vs. Agents Approach: Two methodologies for managing conversation history and their implications. Data Ingestion Pipeline: Efficiently preparing and vectorizing data using Langchain and FAISS. Crafting Effective Prompts: Designing prompt templates for clear, contextually aware interactions. Real-Time Streaming: Delivering smooth conversational experiences with real-time response streaming. 🔧 Architecture Overview: Flask for API management Langchain for language model integration FAISS for document retrieval HuggingFace Transformers for text generation MongoDB for dynamic session handling 💻 Code Walkthrough: From setting up environment variables to deploying your chatbot, I cover it all with practical examples and a detailed guide. 🔗 Read the full blog here: https://lnkd.in/gcYy2dVr 🔗 Check out the GitHub repository for the code: https://lnkd.in/gPnWezPS Let’s push the boundaries of conversational AI together! I’d love to hear your thoughts and feedback. #AI #Chatbots #MachineLearning #DataScience #TechBlog #RAG #ConversationalAI

🚀 𝑨𝑰 + 𝑺𝒂𝒂𝑺 = 𝑻𝒉𝒆 𝑭𝒖𝒕𝒖𝒓𝒆 𝒐𝒇 𝑬𝒙𝒄𝒆𝒑𝒕𝒊𝒐𝒏𝒂𝒍 𝑼𝒔𝒆𝒓 𝑬𝒙𝒑𝒆𝒓𝒊𝒆𝒏𝒄𝒆𝒔! I’m thrilled to share my latest blog: How AI Models Enhance SaaS Products Experience + Retention → https://lnkd.in/gDheu4Ym In this article, I dive deep into how AI models are transforming SaaS products by: ✨ Enhancing user experiences through more innovative personalization. 📊 Boosting retention with predictive analytics and tailored solutions. 🤖 Automating processes to save time and improve efficiency. 𝙰𝚜 𝚊 𝚂𝚊𝚊𝚂 𝚄𝙸/𝚄𝚇 𝙿𝚛𝚘𝚍𝚞𝚌𝚝 𝙳𝚎𝚜𝚒𝚐𝚗𝚎𝚛, 𝙸’𝚟𝚎 𝚜𝚎𝚎𝚗 𝚏𝚒𝚛𝚜𝚝𝚑𝚊𝚗𝚍 𝚑𝚘𝚠 𝚒𝚗𝚝𝚎𝚐𝚛𝚊𝚝𝚒𝚗𝚐 𝙰𝙸 𝚖𝚘𝚍𝚎𝚕𝚜 𝚌𝚊𝚗 𝚛𝚎𝚟𝚘𝚕𝚞𝚝𝚒𝚘𝚗𝚒𝚣𝚎 𝚍𝚒𝚐𝚒𝚝𝚊𝚕 𝚙𝚕𝚊𝚝𝚏𝚘𝚛𝚖𝚜. 𝙵𝚛𝚘𝚖 𝚍𝚢𝚗𝚊𝚖𝚒𝚌 𝚞𝚜𝚎𝚛 𝚒𝚗𝚝𝚎𝚛𝚏𝚊𝚌𝚎𝚜 𝚝𝚘 𝙰𝙸-𝚍𝚛𝚒𝚟𝚎𝚗 𝚒𝚗𝚜𝚒𝚐𝚑𝚝𝚜, 𝚝𝚑𝚎 𝚙𝚘𝚜𝚜𝚒𝚋𝚒𝚕𝚒𝚝𝚒𝚎𝚜 𝚊𝚛𝚎 𝚎𝚗𝚍𝚕𝚎𝚜𝚜—𝚊𝚗𝚍 𝚎𝚡𝚌𝚒𝚝𝚒𝚗𝚐! 🔍 Explore how I’ve applied these principles to real-world SaaS products and learn how AI can take your product to the next level. 💡 Ready to transform your SaaS product? Let’s collaborate to design experiences that truly matter. #SaaSDesign #AIModels #UXDesign #SaaSProducts #AIUX #UserExperienceDesign

𝐇𝐞𝐫𝐞’𝐬 𝐦𝐲 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐡𝐚𝐜𝐤 𝐟𝐨𝐫 𝐭𝐚𝐤𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐥𝐚𝐛 𝐭𝐨 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. When I Launched my first real-time app, I learned this lesson the hard way. Customers demanded instance response, and even a tiny delay meant lost sales. 𝐓𝐡𝐞𝐬𝐞 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐥𝐞𝐬𝐬𝐨𝐧𝐬 𝐚𝐩𝐩𝐥𝐲 𝐭𝐨 𝐚𝐧𝐲 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧. 1. 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞 𝐒𝐩𝐞𝐞𝐝 • Instant responses are a must. Slow apps lose users 2. 𝐇𝐚𝐧𝐝𝐥𝐞 𝐇𝐢𝐠𝐡 𝐃𝐞𝐦𝐚𝐧𝐝 • Your system must handle peak loads without crashing. Throughput is key. • It’s not just about normal operations—it’s about how well your model handles stress during heavy demand. Be ready for rush hours 3.𝐒𝐜𝐚𝐥𝐞 𝐰𝐢𝐭𝐡 𝐄𝐚𝐬𝐞 • As your user base expands, your infrastructure must grow with it. • Think beyond today’s needs—anticipate tomorrow’s growth. • Proper scalability ensures smooth performance, even during unexpected traffic spikes. 4. 𝐓𝐡𝐢𝐧𝐤 𝐇𝐨𝐥𝐢𝐬𝐭𝐢𝐜𝐚𝐥𝐥𝐲 • It’s not just about the model. Your entire system—hardware, software, and networks—must work together seamlessly. • A single point of failure can erode trust and cost you valuable customers. 5. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐟𝐨𝐫 𝐂𝐨𝐬𝐭 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 •Balance high performance with budget 𝗟𝗟𝗠𝘀 𝗰𝗮𝗻 𝗯𝗲 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝘁𝗼 𝗿𝘂𝗻 𝗮𝗻𝗱 𝗼𝗳𝘁𝗲𝗻 𝗿𝗲𝘀𝘂𝗹𝘁 𝗶𝗻 𝘀𝗹𝗼𝘄𝗲𝗿 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝘁𝗶𝗺𝗲𝘀. 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝘀𝗼𝗺𝗲 𝗸𝗲𝘆 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝘁𝗼 𝗿𝗲𝗱𝘂𝗰𝗲 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗰𝗼𝘀𝘁𝘀 𝗮𝗻𝗱 𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝘄𝗵𝗶𝗹𝗲 𝗸𝗲𝗲𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹’𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗵𝗶𝗴𝗵: 1. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗶𝘀𝘁𝗶𝗹𝗹𝗮𝘁𝗶𝗼𝗻: • The distilled model retains many of the benefits of the larger one, like accuracy, but has much faster inference times and lower latency. • It reduces the computational memory associated with deploying large models, making it particularly valuable for real-time chatbots, translation tools, and mobile applications. 2. 𝗤𝘂𝗮𝗻𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Lower precision, speed up inference •It is especially beneficial for latency-sensitive applications, where quick responses are critical, such as in voice assistants or live translation tools. 3. 𝗠𝗼𝗱𝗲𝗹 𝗣𝗿𝘂𝗻𝗶𝗻𝗴: • This technique involves removing non-essential neurons, weights, or layers from the model, decreasing the number of parameters. Ultimately, it depends on what you’re trying to solve. Sometimes, throughput matters more than latency 💬 Hit 'like' if this resonated with you and follow for more AI tips. "What strategies do you use to optimise real-time apps? #LLMs in production# AI #LLMOps#smallbusiness#AI

🔍 Curious about the latest in AI assistants? Dive deep with us into the comparison between Microsoft Copilot and other leading AI companions. Our analysis goes beyond the surface, exploring interface usability, coding comprehension, and more. Discover the strengths and limitations of each to make informed decisions about your user experience enhancements. #AI #MicrosoftCopilot #UserExperience #TechComparison https://hubs.li/Q02qlLP90

🔥 Announcing FireOptimizer/Multi-LoRA 🔥 I didn't expect what I considered to be a small feature launched last year delivered a powerful impact to our customers. I'm excited to announce Multi-LoRA, an important component of FireOptimizer. Personalized experiences are critical to driving greater usage, retention and customer satisfaction for your product. Without Multi-LoRA, deploying hundreds of fine-tuned models on separate GPUs would be prohibitively expensive. With Multi-LoRA, you can now deliver personalized experiences across thousands of users and use cases, without scaling your costs! More specifically, Multi-LoRA has benefits below: -- Fine-tune and serve hundreds of personalized LoRA models at the same cost as a single base model, which is just $0.2/1M tokens for Llama3.1 8B -- 100x cost-efficiency compared to serving 100 fine-tuned models without Multi-LoRA on other platforms with per-GPU pricing -- Convenient deployment on Fireworks Serverless with per-token pricing and competitive inference speeds, or Fireworks On-Demand and Reserved for larger workloads Multi-LoRA is part of FireOptimizer, our adaptation engine designed to customize and enhance AI model performance for your unique use cases and workload. FireOptimizer capabilities include Adaptive Speculative Execution (https://lnkd.in/ejdD-wGG), that enables up to 3x latency improvements, Customizable Quantization (https://lnkd.in/dwpTU233), to precisely balance speed and quality, and LoRA Fine-Tuning (https://lnkd.in/et2UFzDy) to customize and improve model performance. ⚡Cresta uses Multi-LoRA to personalize their Knowledge Assist feature for each individual customer on the Fireworks enterprise platform. "Fireworks' Multi-LoRA capabilities align with Cresta's strategy to deploy custom AI through fine-tuning cutting-edge base models. It helps unleash the potential of AI on private enterprise data." - Tim Shi, Co-Founder and CTO of Cresta ⚡Brainiac Labs helps businesses leverage their proprietary data to fine-tune and deploy models using Multi-LoRA on the Fireworks self-serve platform. “Using Fireworks, clients with limited AI expertise can successfully maintain and improve the solutions I provide. Additionally, students in my course are able to complete real-world fine-tuning projects, dedicating just a few hours per week to the process.” - Scott Kramer, CEO of Brainiac Labs 👉 Read more in our blog post https://lnkd.in/d3_HGRqy

🌟 Embracing Game-Changing Technologies! 🌟 Generative AI and SaaS are revolutionizing the way we work and create. These advancements drive innovation, boost productivity, and offer smart solutions to everyday problems. Take OpenAI's "SearchGPT" for example—it combines AI with web info to deliver quick, accurate search results, set to outperform and outrage Google Search. This technology is redefining our search experiences. The future is here, powered by generative AI and SaaS. Let’s embrace these technologies to build a smarter, more efficient world! #GenerativeAI #SaaS #Innovation #FutureOfWork #TechRevolution

What if your AI didn’t just answer questions but ran your business? Meet Agentic Architecture—where specialized AI agents work together to run interconnected tasks, from customer onboarding to financial forecasting. SaaS founders, this is your key to scaling operations without growing pains. In a SaaS setup, imagine AI agents managing customer success metrics, forecasting revenue changes based on real-time data, and automating onboarding emails. It’s like having an entire team of experts, but faster and without human error. 👀 Ready to supercharge your SaaS business? Learn more: https://hubs.la/Q02SqtCz0 #SaaS #AI #Automation #AgenticArchitecture #Scalability