Artificial Intelligence (AI) and Large Language Models (LLMs) are the trending technologies that are redefining business strategies worldwide. We have now a plethora of tools that can accomplish all the tasks for us. Choosing and customizing the models for your use case is a challenge.
Hardware enabled and customized AI models are enabling users to achieve tasks at a faster rate. ChatGPT, Microsoft CoPilot, Google Gemini, Salesforce ChatAgents, Anthropic Claude, Adobe AI Agent, Github CoPilot, and other tools are enabling users to customize the web responses. Finding resources, analyzing, summarizing, and helping users to decide is the priority for the models. Free versions are enough for routine tasks however paid models with a subscription help you customize the settings and not deviate much from your purpose. Setting the role, intention, tone, specifying the output format, and customizing the responses are some of the favorite options.
Large Language Models (LLMs) are also analyzing the queries in multiple languages and help transcribe the response for the users. Voice queries and avatar based queries are also useful for the users. Helping with the homeworks, analyzing the responses, explaining the concept are similar to having a tutor by your side. Complex math and science concepts, reasoning, and summarizing are useful for the students.
For work purposes, summarizing the documents and creating a response based on the context is a really useful use case. At times, finding a document is a really challenging task and may take several minutes to hours. With the Agents, it is faster to find the relevant documents and then summarize the decision. Image Search and customizing the images is also possible. To customize the report, several tools are also available for the Image creation.
Getting started with AI/ML models are available for users to experiment. Databricks, ChatGPT, Microsoft CoPilot, Adobe Agent, Salesforce Agentforce, Google Gemini, Anthropic Claude Sonnet, and so on are some of the examples. Different tools are also available for data mining such as Orange. With Neuronpedia, you can try models by Steer Models or Search Explanations. Learning how the models think and retraining them is also possible.
More advanced users are using the CoPilots to customize code and fixing the code to latest standards. Customer service chat agents are customizable to solve a ticket at a faster pace and sending relevant resources. With the AI and LLMs are doing everything for the users, the user is responsible for verifying the outputs at every step and confirming yes or no to the chatbot. Specifying the correct training dataset and test dataset are crucial for the success of the LLM.