LoRA reduces the number of parameters necessary to fine-tune models, which helps cut training costs and GPU memory requirements by …
Latest in Machine Learning
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Artificial IntelligenceMachine Learning
Parameter-Efficient Fine-Tuning (PEFT) for Large Language Models
PEFT is an approach for improving the performance of large language models on particular downstream tasks by tweaking only a …
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Artificial IntelligenceMachine Learning
Retrieval-Augmented Generation (RAG) Improves the Reliability and Accuracy of Large Language Models
Large language models (LLMs) tend to remain “frozen in time”, without current context and may lead to hallucinations. Meta AI …
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Artificial IntelligenceMachine Learning
LangChain – A Framework That Simplifies the Development of Large Language Models
Langchain is a framework that simplifies application development that utilizes large language models. It contains modules for prompt templates, chains …
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Artificial IntelligenceAutonomous VehicleMachine Learning
Wayve GAIA Model – World’s First Generative AI For Autonomous Vehicles
Wayve has released a technical report detailing its cutting-edge generative world model for autonomy, GAIA-1. Trained on an immense corpus …
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Generative Adversarial Network – GANs are useful tools for image synthesis and generation tasks, producing lifelike images of people, animals …
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Variational autoencoders (VAEs) are an advanced neural network architecture used for generative modeling and were first introduced by Diederik P. …
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Embedding is a machine learning technique used to transform unstructured data into meaningful representations. By mapping objects (such as words, …
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Artificial IntelligenceMachine Learning
Ollama – A Powerful Tool For Running Large Language Models Locally
Ollama is an open-source platform designed to assist users in running large language models locally. Additionally, Ollama facilitates interactive experimentation, …
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Conversational AI and generative AI each serve unique uses, but can overlap. Generative AI creates new content such as text, …