How to Add Multiple Memory Classes in the Same Chain Using LangChain?
To add multiple memory classes in LangChain, install the modules for importing multiple memory libraries to configure the conversation and run the model.
How to Add Memory to an Agent in LangChain?
To Add memory in an agent using LangChain, install the modules to import libraries for configuring the memory with an agent to store the previous messages.
How to Add a Custom Memory Type in LangChain?
To add a custom memory type in LangChain, install the modules to import libraries like spaCy for designing a custom memory and run it to test the performance.
Getting Started With Agents in LangChain?
To get started with agents in LangChain, install the modules for building the chat model or agent and use it to build the conversation interface by calling it.
How to Implement the Self-Ask With Search Chain?
To implement the self-ask with the search chain in LangChain, install the modules and configure the model using the self-ask agent before extracting information.
How to Implement the ReAct Logic Using an Agent in LangChain?
To implement ReAct logic in LangChain, install the modules for building agents and environments for LCEL and chat models to test the ReAct logic.
How to Adjust the Contrast of an Image in PyTorch?
To adjust the contrast of an image in PyTorch, use the “adjust_contrast()” method and provide the input image and contrast factor as an argument.
How to Adjust the Brightness of an Image in PyTorch?
To adjust the brightness of an image in PyTorch, use the “adjust_brightness()” method and provide the input image and brightness factor as an argument.
How to Adjust the Saturation of an Image in PyTorch?
To adjust the saturation of an image in PyTorch, use the “adjust_saturation()” method and provide the input image and saturation factor as an argument.
How to Use Transformation Chains in LangChain?
To use transformation chains from LangChain, install the required modules to load data, transform it into smaller chunks, and display them on the screen.
How to Use Sequential Chains in LangChain?
To use sequential chains from LangChain, install the required modules to build sequential chains using SimpleSequentialChain and SimpleMemory libraries.
How to Use Memory in LLMChain Through LangChain?
To use memory in LLMChain from LangChain, install the required modules to get the libraries for storing previous conversations in the memory.
10 Top Open-Source Artificial Intelligence Tools for Linux
In this article, we shall cover a few of the top, open-source artificial intelligence (AI) tools for the Linux ecosystem.
The post 10 Top Open-Source Artificial Intelligence Tools for Linux appeared first on Linux Today.
How Does /faq Command Work in Midjourney?
The /faq command uses NLP to analyze your input and match it with the best question and answer from the KB. It uses NLP to generate natural concise answers.
Getting Started Guide with Chains in LangChain
To get started with chains in LangChain, install the modules to get the libraries for building the chains and configuring prompt templates to execute chains.
How Does the Permute Operation Work in PyTorch?
The Permute Operation works by altering the dimensions of a PyTorch Tensor by using the “torch.permute()” method on the tensor that needs to be permuted.
Getting Started Guide With Text Embedding Models in LangChain
To get started with text embedding models in LangChain, install the modules to get the OpenAIEmbedding() library for using document and query embedding models.
How to Generate Images Fast With the Turbo Mode in Midjourney 5.2?
To generate images fast with the Turbo mode in Midjourney 5.2, type /setting command in the terminal and choose the “Turbo” mode in the Midjourney settings.
How to Get a Transparent Background Image on Midjourney?
To create a transparent background image on Midjourney, add the keyword “transparent”, “cutout” or “white background” with the prompt.
How to Perform Tensor Conversions Using PyTorch?
To perform a tensor conversion in PyTorch, use “bool()”, “short()”, “long()”, “half()”, and “double()” functions to convert a tensor into different data types.