Kulonuwun (Hi)

This is a 3 days story In this AI world right now, people are easily creating tools and what we now call “agents”. As a person who opened this page, you will already be familiar with MCP or Model Context Protocol. MCP is great, but suddenly Google is releasing ADK, which stands for Agent Development Kit. It’s a little bit confusing here, actually, while the Langchain platform is also expanding. Whatever. ...

Journey understanding it What is Model Context Protocol in this recent days like 2 weeks back i was stumbling upon an agentic AI, what is agentic we all does not really know it. agentic is the AI act like agent they understand what you need and doing certain action also choose tools to do what you need, thats whats my understanding of agentic AI. but for more prcise Agentic AI refers to artificial intelligence that acts like an agent capable of understanding user needs, selecting appropriate tools, and performing actions autonomously. ...

A Journey into AI-Powered Conversations and Document Understanding It all started with a simple question: How can we make AI interactions more accessible, intuitive, and useful for everyday users? (me) In an era where AI models like GPT-4 and Claude are reshaping how we work, learn, and communicate, there’s still a gap between raw AI capabilities and how people actually interact with them. Many AI-powered tools feel complex, buried under APIs and technical jargon. This is where Gadageni was born—a vision to create a seamless, user-friendly way for anyone to engage with AI, whether for casual conversation, document analysis, or summarizing the web. ...

To help me stay sane, i have compiled a list of the latest AI news and in AI research. this is just a note for me https://paperswithcode.com/ https://paperswithcode.com/latest https://www.theneurondaily.com/ https://thesummary.ai/ (some paid) thats it thanks

Introduction In today’s rapidly evolving digital age, data has become an invaluable asset for businesses of all sizes. The term “Big Data” refers to the large volumes of data that organizations generate and collect daily. Leveraging this data effectively can transform companies, offering strategic benefits that translate into a competitive edge in the marketplace. In this blog post, we will explore how businesses can utilize Big Data, the competitive advantages it provides, and steps to implement it effectively. ...

Intro In the rapidly evolving world of technology, Natural Language Processing (NLP) plays a pivotal role in reshaping how machines understand and generate human language. Among its many applications, NLP significantly enhances multilingual text-to-speech (TTS) technology and voice assistants, making them more robust and user-friendly. This blog post will explore the transformative impact of NLP on TTS systems, focusing on its ability to improve language understanding, pronunciation accuracy, and overall user experience—especially for non-native speakers. ...

Introduction In an era where the digital landscape is constantly evolving, the role of Site Reliability Engineers (SREs) has become even more critical. Enter Cleric, an AI-powered SRE that leverages cutting-edge technology to enhance its capabilities in identifying and resolving production issues. This blog post delves into how Cleric has transformed its operational efficiency by utilizing LangSmith’s continuous learning framework, ultimately showcasing the necessity of evolving AI tools to meet the demands of modern operations. ...

Introduction As organizations increasingly invest in artificial intelligence (AI), understanding the return on investment (ROI) of these initiatives becomes crucial. Measuring the ROI of AI is not a straightforward endeavor; it requires a nuanced approach that integrates both quantitative metrics and qualitative assessments. This blog post will explore effective strategies and key metrics for measuring the ROI of AI, ensuring organizations can harness the full potential of their AI investments. ...

Candidate discovery demo In this post will be litle bit technical. continuing what i already created that talk with pdf (RAG). combining this nextjs from bolt.new chat with ollama and langchain for talking with pdf files we will slightly re-architec the app user flow design. before, we use FAISS to store our vector. i am afraid it cannot scale (do not know how to scale). so in search of vector databases. i encounter with bunch of option there is pgai (that really take my interest) still in beta, but also qdrant that already have their enterpise option. ...

is the internet still could be trusted ? Its bothering me in this last couple of month i am seeing or feel seeing and reading AI generated content. it could be text, images or video. and i wonder if articles or video was took a day to research and write or create, now, could take a couple of minutes? second? Content Creation Before AI Before the adoption of AI, content creation relied heavily on human. The years between 2000 and 2020 (maybe) saw a steady rise in content production, driven by the internet Boom and Social Media Growth, platforms like Facebook, Twitter, and Instagram introduced new opportunities for user-generated content. and TikTok of course. ...