How to Calculate CTC Loss in PyTorch?

Finding loss using statistical formulas can be vital and considered an evaluation technique that compares the input values with the predicted values. The loss is evaluated for the predicted values by checking how much it differs from the actual input provided during...

How to Append PyTorch Tensor?

PyTorch Tensors store and manage data in multi-dimensions to build deep learning models efficiently. The user can integrate multiple tensors to be used as one containing the contents of all the tensors with the same structure. Adding the values of the different...

How to Manually Raise Exceptions in Python

Python is a multi-purpose object-oriented programming language that comes with numerous built-in exceptions such as ImportError, OSError, etc. Using Exceptions, programmers can handle mistakes and unpredicted circumstances in their code. A Python program raises an...

How to Use Multi-Input Tools With an Agent?

Tools in LangChain have a huge impact on solving multiple problems through agents that help language or chat models using OpenAI modules. Agents control the manageability of the task by using the tools and assigning tasks according to their functionalities. LangChain...

How to Use LangChain Tools as OpenAI Functions?

LangChain builds Language models and chatbots using its dependencies that enable the users to ask targeted queries from the chatbot. The bots have a chat user interface in which the user sends a message asking questions and the model responds accordingly. The models...

How to Use Callback Handlers in LangChain?

LangChain provides the dependencies for building applications that can answer queries asked by the user in natural languages. The user needs to train the language models using the template or structure for the queries so the models can start working as soon as it...