Pawel Bulowski’s Post

Don't begin your GenAI project with frameworks like LangChain. At best they make the easy problems slightly easier. Unfortunately they also obfuscate what the LLM is doing. Your biggest challenge in GenAI projects is creating transparency. Frameworks reduce transparency. Don't use them. https://lnkd.in/e22TXXst

Building a Chatbot with Langchain and Streamlit on google colab🤖💬 Hello, LinkedIn network! I’m excited to share my recent project where I developed a chatbot using Langchain and Streamlit. Here’s a brief overview of the process: 1. Environment Setup 🛠️: I began by installing essential libraries, including langchain, streamlit, and colab-xterm, to create a robust coding environment. 2. Implementing the Language Model 📚: Utilizing the Ollama model (Llama2), I constructed a chatbot capable of generating responses based on user input. The system was designed to assist users effectively with their queries. 3. Creating the Chatbot Logic 💡: I employed the ChatPromptTemplate to establish a structured conversation flow, allowing users to interact seamlessly with the chatbot. This framework ensures clarity in user queries and responses. 4. Web Interface Development 🌐: Using Streamlit, I built a straightforward web application where users can submit topics and receive responses from the chatbot. This interface enhances user experience and accessibility. 5. Deployment 🚀: To make the application publicly accessible, I implemented localtunnel, allowing users to connect to the chatbot through a shared link.

🚨 New Flip AI Blog 🚨 In 2004, keeping critical applications healthy meant relying on tools like Nagios, Logwatch, and SVN. Fast forward to 2024, and while observability has advanced, today’s developers face new challenges: overwhelming telemetry data, vendor lock-in, and the elusive “single pane of glass". So, what can truly transform debugging? Check out our brand new blog post, "The Debugging Workflow: The More Things Change, The More They Stay The Same" by our CPO, Deap Ubhi. We explore the different ways in which Generative AI may hold the answer—helping developers pinpoint issues faster and navigate data noise with ease. Enjoy the read ahead of the long weekend and let us know your thoughts in the comments below! Blog: https://lnkd.in/edAeMcbu #FlipAI #AIOps #observability #GenAI

The promise of modern observability, in its purest form, is the ability to ask questions about your complex systems and to get relatively real-time and accurate answers. https://lnkd.in/eXDMRs5n #DevOps #Observability by Adam LaGreca thanks to Lightrun

📣 The newly-released Orchestration API by Agoric enables long-lived smart contracts to manage complex, cross-chain workflows effortlessly. 🌐 It’s a game-changer for simplifying multichain interactions in Web3 🫨 Let's fin out more 👇 🛠️ Devs, tired of manual, error-prone processes? The Orchestration API automates everything: interchain account creation, cross-chain transfers, and balance queries. Perfect for scaling apps across multiple chains! ⏳ Why single-block contracts fall short: Complex cross-chain operations need asynchronous processes. Agoric’s Orchestration API abstracts away this complexity, making development smoother Learn more about all the use cases you can unlock and automate thanks to Agoric's Orchestration API 👇

𝐄𝐥𝐞𝐯𝐚𝐭𝐢𝐧𝐠 𝐌𝐎𝐏 𝐰𝐢𝐭𝐡 𝐃𝐨𝐜𝐤𝐞𝐫 : 𝐀 𝐆𝐥𝐢𝐦𝐩𝐬𝐞 𝐁𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐒𝐜𝐞𝐧𝐞𝐬💡 While Docker isn’t new to us, we’re excited to share how it transformed one of our project, MOP! From development to deployment, Docker’s containerized approach ensures smooth, efficient operations and easy scalability. 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐨𝐟 𝐃𝐨𝐜𝐤𝐞𝐫 𝐢𝐧 𝐌𝐎𝐏 : 𝐏𝐲𝐭𝐡𝐨𝐧 𝐀𝐏𝐈 𝐒𝐞𝐫𝐯𝐢𝐜𝐞: A resilient backend environment that’s fast and efficient. 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞: Reliable, containerized data management for secure storage and retrieval. 𝐑𝐞𝐝𝐢𝐬 𝐂𝐚𝐜𝐡𝐢𝐧𝐠: Supercharges app performance with fast, in-memory caching. 𝐢𝐦𝐠𝐩𝐫𝐨𝐱𝐲 𝐟𝐨𝐫 𝐈𝐦𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Real-time resizing and optimization for media-heavy tasks. 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐬 𝐀𝐝𝐦𝐢𝐧 𝐔𝐈: Simple database management with an intuitive web interface. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐂𝐫𝐨𝐧 𝐉𝐨𝐛𝐬: Scheduled tasks handle regular cleanups, reporting, and more. 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Securely manage app configurations in one place. 𝐏𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐕𝐨𝐥𝐮𝐦𝐞𝐬: Maintains data consistency across container restarts. 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐨𝐟 𝐃𝐨𝐜𝐤𝐞𝐫 𝐢𝐧 𝐌𝐎𝐏 : 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 𝐀𝐜𝐫𝐨𝐬𝐬 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬: Every team member works in the same setup, reducing bugs and enhancing collaboration. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐧 𝐃𝐞𝐦𝐚𝐧𝐝: MOP can scale quickly and efficiently with Docker’s lightweight containers. 𝐐𝐮𝐢𝐜𝐤 𝐑𝐨𝐥𝐥𝐛𝐚𝐜𝐤𝐬 & 𝐔𝐩𝐝𝐚𝐭𝐞𝐬: Easy version control and deployment flexibility. 𝐎𝐩𝐭𝐢𝐦𝐚𝐥 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐔𝐬𝐞: Each service runs separately, keeping MOP’s performance sharp and responsive. With Docker, MOP is now more powerful, efficient, and ready to take on new challenges!

Hands-On LangChain for LLM Applications Development: Prompt Templates https://bit.ly/3wAkSH7

This solution will be very expensive. It includes LangChain, which adds pre and post-processing tokens, and an agent, which is also costly. Additionally, it incorporates Bedrock, OpenSearch, Lambda, and a gateway. Overall, this architecture does not provide good value for money for organizations.

Building a simple Agent with Tools and Toolkits in LangChain https://lnkd.in/g4RmPP9g #langchange #aiagent

🤔 Should you automate your next codebase migration or upgrade project? Yes! Software developers became developers to innovate and create new amazing software. Not waste away maintaining huge legacy codebases. 🤔 Should you use codemods? Nope. Codemods have been around for decades, and they can work fairly well so long as the exact patterns of a codebase are known up front, and the codemods are written to match those patterns. BUT, for large complex codebases, they are rarely helpful. 😏 Okay, so I'm guessing you're going to say AI then? Yep. But not just any AI. You should use an AI system like Second that is specifically designed for common migrations and upgrades. Unlike codemods, Second can produce results with 99% accuracy no matter HOW BAD the codebase is. And let's be real, your corporate codebase is probably awful. DM me if you'd like for us to show you what we can do. We love helping fellow developers automate migrations and upgrades! 🤓 👉 Check it: www.second.dev