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.
Read MoreTo use sequential chains from LangChain, install the required modules to build sequential chains using SimpleSequentialChain and SimpleMemory libraries.
Read MoreTo use memory in LLMChain from LangChain, install the required modules to get the libraries for storing previous conversations in the memory.
Read MoreIn 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.
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.
Read MoreTo get started with chains in LangChain, install the modules to get the libraries for building the chains and configuring prompt templates to execute chains.
Read MoreThe 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.
Read MoreTo get started with text embedding models in LangChain, install the modules to get the OpenAIEmbedding() library for using document and query embedding models.
Read MoreTo 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.
Read MoreTo create a transparent background image on Midjourney, add the keyword “transparent”, “cutout” or “white background” with the prompt.
Read MoreTo perform a tensor conversion in PyTorch, use “bool()”, “short()”, “long()”, “half()”, and “double()” functions to convert a tensor into different data types.
Read MoreTo switch Midjourney version 4 to version 5, type the “/settings” command in the text prompt, and choose the latest version “Midjourney Model V5.2”.
Read MoreTo use the quality parameter in Midjourney, input the –quality or –q parameter at the last of the prompt description. It controls the quality of the images.
Read MoreTo use the image weight parameter in Midjourney, type prompt with the –iw parameter. The image weight parameter is a useful feature of Midjourney.
Read MoreTo use the –stop parameter in Midjourney, add it to the end of the command. It allows you to control when the Midjourney AI tool stops generating images.
Read MoreTo use the –tile parameter, you need to access Midjourney. After that, specify the input prompt to generate the output image, with the –tile parameter.
Read MoreThe weird parameter is a unique feature of Midjourney that allows users to manipulate the style, color, shape, and texture of their artwork in creative ways.
Read MoreWe should stop calling ChatGPT and other generative AI software “artificial intelligence,” according to Stallman, because “there’s nothing intelligent about them.”
The post Richard Stallman Talks Red Hat, AI, and Ethical Software Licenses at GNU Birthd…
To get started with Streamlit, first install prerequisites. Now use “pip install streamlit” command to install streamlit and run its UI using “streamlit hello”.
Read MoreTo apply pipelines on the dataset in Transformers, we can either iterate over a dataset by using a pipeline() function or use the “datasets” library.
Read MoreTo build LLM and LLMChain in LangChain, install LangChain and set up an environment using OpenAI API to build LLM and LLMChain to get answers from the model.
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