TechWithVasanth

Due to rapid developments in artificial intelligence (AI), many new AI systems are available for many uses. The newest AI assistant system called Claude AI has very powerful capabilities. It can be helpful with many tasks including writing, programming, research, etc. In this article you will learn about Claude AI including what it is, how to use it, and how it compares to ChatGPT. What is Claude AI? Claude AI is a new AI chatbot developed by Anthropic. Claude is designed to provide safe, helpful, and honest assistance to users. Claude AI is capable of: Answering questions Creating written content such as articles, emails, etc. Assisting with programming (code writing) Summarizing large documents Claude AI has become widely used by students, bloggers, and professionals in many fields. Claude AI's Key Features 1. Natural Language Processing Claude understands natural language and can provide responses in a conversational manner. 2. Long Document Processing Claude can handle long doc...

Defining Agentic AI Autonomous systems funded by Agentic AI that operate as goal-oriented, independent agents capable of planning, making decisions and executing actions with little or no human involvement. Traditionally AI systems can only respond to an individual input or carry out a narrowly defined function. Conversely, an agentic AI system can take a larger problem and decompose it into smaller tasks, carry out those tasks across different tool sets and/or environments, and adapt their operation to the results of their task. The emergence of agentic AI systems represents a significant evolution in AI technologies from passive assistants to strong problem solving capabilities. What is Agentic AI Agentic AI is based on the feedback loop of perception, reasoning, action and learning. The first step involves the system interpreting the user's desired outcome or input from the surrounding environment. The next step is to form a plan of action using an approach such as large languag...

Artificial Intelligence (AI) systems are increasingly being deeply embedded in business, healthcare, education, finance, and other digital products. As the impact of AI systems increases, the need to assess AI systems effectively is no longer a choice but a necessity for ensuring reliability, fairness, safety, and effectiveness. Why AI Evaluation Matters AI systems may seem highly accurate in a controlled setting but not in real-world applications. Ineffective evaluation can result in biased decision-making, security threats, financial setbacks, or loss of user trust. AI evaluation can help organizations: Assess model performance Identify bias and fairness problems Validate reliability in production Make objective comparisons between models Comply with regulatory and ethical requirements In essence, evaluation is the link between developing an AI system and trusting it in the real world. Types of AI Evaluation 1. Technical Performance Evaluation This is the most prevalent type of evalu...

Transformation of IT Careers by Artificial Intelligence AI, which was once a futuristic concept, is now an important part of the IT industry. Starting in 2026, AI will not only support technology teams, but will also reshape how IT professionals will work together and innovate. Instead of eliminating all jobs, AI will rapidly change roles through "role evolution" and automate repetitive tasks, ultimately allowing for completely new career opportunities. The transition to AI will create many opportunities and disruptions for IT professionals. In this article, we will examine: how AI will affect IT jobs in 2026, the roles that will be in demand, the skill requirements that will emerge, and how professionals can prepare for the future job market. How IT Jobs Will Look in 2026 In 2026, the IT job market will be defined by how organizations will integrate AI into their operations to support their employees rather than replace them. Companies will be increasingly utilizing AI to: A...