machinelearning - CybAI news

19 Jul

Supercharging LLMs: RoT Fuses Language Models with Decision Tree Search to Boost Reasoning Power

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called Supercharging LLMs: RoT Fuses Language Models with Decision Tree Search to Boost Reasoning Power. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview This paper explores a novel approach called "Reflection on Search Trees" (RoT) to enhance the capabilities of large language models (LLMs). RoT involves integrating tree search methods with LLMs to improve their reasoning and decision-making abilities. The paper presents the design and evaluation of the RoT system, demonstrating its effectiveness in outperforming traditional LLMs on various tasks.…

17 Jul

Qwen2 Technical Report

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called Qwen2 Technical Report. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview The provided paper is a technical report on the Qwen2 audio model. It covers the model's tokenizer, architecture, and other key technical details. The report aims to provide a comprehensive overview of the Qwen2 system for researchers and developers. Plain English Explanation The Qwen2 Technical Report outlines the technical details of the Qwen2 audio model. Qwen2 is a powerful machine learning model designed for various…

15 Jul

Week 1: Exploring AI with Andrew Ng, Python Mastery, and Freelancing Adventures

stp2y0 CommentsNewsai, coding, community, development, engineering, inclusive, machinelearning, python, software, webdev

Introduction: Hey everyone! I'm Muhammad Bilal, and this week marked the beginning of my exciting journey into the world of Python programming and Artificial Intelligence. I've started Andrew Ng's AI course and jumped into my first freelance project on Upwork. Here’s a recap of my week, filled with learning, challenges, and some exciting discoveries! This Week's Learnings: I began my week by delving deep into Python, brushing up on basic concepts like data structures and quickly advancing to more complex topics. Simultaneously, I embarked on Andrew Ng's AI course, where I learned invaluable insights about the fundamentals of Supervised Learning.…

03 Jul

CRISP-DM: The Essential Methodology for Structuring Your Data Science Projects

stp2y0 CommentsNewscoding, community, data, datascience, datastructures, development, engineering, inclusive, machinelearning, software

As with any IT project, Machine Learning projects need a framework. However, classical methodologies do not apply or apply very poorly to Data Science. Among the existing methodologies, CRISP-DM is the most commonly used and will be presented here. Several variants exist. Be careful, CRISP is a framework and not a rigid structure. The purpose of using a methodology is not to have a magic formula or to be limited. It mainly provides an idea of the progress and steps, as well as good practices to follow. CRISP-DM stands for "Cross Industry Standard Process for Data Mining." It is, therefore,…

26 Jun

Use AWS Generative AI CDK constructs to speed up app development

stp2y0 CommentsNewscoding, community, development, engineering, inclusive, infrastructureascode, machinelearning, python, software, tutorial

Assemble and deploy the infrastructure for a RAG solution using AWS CDK for Python In this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application composed of the following components: Knowledge Bases for Amazon Bedrock: This is the foundation for the RAG solution. OpenSearch Serverless collection: It supports the vector search collection type that provides similarity search capability. An S3 bucket: This will act as the data source for the Knowledge Base. AWS Lambda function (written in Python) along with an API Gateway that uses the RetrieveAndGenerate API to query the knowledge base…

26 Jun

How to Determine API Slow Downs, Part 2

stp2y0 CommentsNewscoding, community, development, devops, engineering, inclusive, machinelearning, python, software, testing

A long time ago I wrote an article on how to determine that an API is slowing down using simple statistics known as linear regression. In the conclusion of that article, it was mentioned some challenges in applying linear regression. It is hard to define the reference point. Difficulty in defining the angle of the regression lines. The reference point means we need two regression lines to know whether the current situation is normal or abnormal, and the angle between the regression lines is the basis for our judgment. For those who are familiar with statistics or math, this approach…

18 Jun

Streamlining Security in the Digital Age—Building ID Verification System with SDKs

stp2y0 CommentsNewsai, coding, community, computerscience, development, engineering, inclusive, machinelearning, programming, software

Building ID verification system with SDKs is becoming more and more important in today’s digital environment, where trust and security are critical. Accurate and efficient identity verification becomes more and more important as interactions and transactions shift to the Internet. ID verification systems are made to make sure that someone is who they say they are, protecting private data, preventing fraud, and guaranteeing that laws and regulations are followed. Let’s say you are ready to complete an important online transaction, but the system freezes because your identity cannot be confirmed. Yes, it is frustrating. Imagine for a moment a world…

16 Jun

How Deep Learning Works

stp2y0 CommentsNewsai, coding, community, deeplearning, development, engineering, inclusive, machinelearning, neuralnetworks, software

Deep Learning is the core of a Machine Learning system, it is how a machine actually learns from data without much human intervention. In this post I am going to discuss how Deep Learning actually works with the data you give. The basis of a Deep Learning system are Neural Networks, they are the fundamental part of how a machine learns by itself. To understand how a Neural Network learns you need to understand how a Neural Network is structured. There are mainly 3 (or more) layers in the neural network1. Input Layer: Where the data to the network is…

14 Jun

Introducing Semantic Kernel

stp2y0 CommentsNewsai, coding, community, development, engineering, inclusive, machinelearning, semantickernel, software

Semantic Kernel is an open-source SDK that allows us to easily bring AI capabilities to our applications. It allows us to connect to AI services such as OpenAI and Azure OpenAI with ease. If you have worked with LangChain, Semantic Kernel is a Microsoft implementation of a project like LangChain. Semantic Kernel allows us to integrate AI functionality such as text generation, text summarization, chat completion, and image generation in our applications. In this article, we'll be exploring Semantic Kernel, unraveling its terminology, and demonstrating its capabilities by building practical applications. This article will lay the foundation of the core…

13 Jun

Let’s Build Small AI Buzz, Offer ‘Claim Processing’ to Mid/Big Companies

stp2y0 CommentsNewscoding, community, development, engineering, GenAI, inclusive, LLM, machinelearning, rag, software

Discover How AI Can Transform Businesses, Every Details Spelled Out. Full Article Artificial Intelligence (AI) is rapidly reshaping business landscapes, promising unprecedented efficiency and accuracy across industries. In this article, we delve into how Aniket Insurance Inc. (Imaginary) leverages AI to revolutionize its claim processing operations, offering insights into the transformative power of AI in modern business environments. ➡️ What’s This Article About? The article explores how Aniket Insurance Inc. uses AI to transform its claim processing. It details the three main workflows: User claim submission, Admin + AI claim processing, and Executive + AI claim analysis. ➡️ Why Read…