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Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind human approval. This gives us a practical way to test Claude Fable 5.1 as
I remember from my student days the plethora of subscriptions, fees, and payments to be made for a range of tasks. Be it learning a new skill, using the right environment for practice, or simply travelling to and from home, we had to shell money out of our pockets. But it is almost 2026 now,
Student ID Benefits Worth Thousands: Get 15+ Premium Tools For Free or on Discount Read More »
Large language models are powerful, but on their own they have limitations. They cannot access live data, retain long-term context from previous conversations, or perform actions such as calling APIs or querying databases. LangChain is a framework designed to address these gaps and help developers build real-world applications using language models. LangChain is an open-source
If you’ve ever watched a game and wondered, “How do brands actually measure how often their logo shows up on screen?” you’re already asking an ACR question. Similarly, insights like: are all powered by Automatic Content Recognition (ACR) technology. It looks at raw audio/video and figures out what is in it without relying on filenames,
ESG reporting or Environmental, Social, and Governance reporting, often feels overwhelming because the data comes from so many places and takes ages to pull together. Teams spend most of their time collecting numbers instead of interpreting what they mean. Agentic AI changes that dynamic. Instead of one chatbot answering questions, you get a coordinated group
Building an Agentic AI Pipeline for ESG Reporting Read More »
