GPT Instruction Fine-tuning With Keras Paid Members Public
Fine-tuning has become the new training because training large language models (LLMs) from scratch is computationally expensive. It also requires collecting and preparing large datasets which is also time intensive. These resources are only the purview of a few individuals and organizations. Fortunately, there are many open-source LLMs that one
How to Detect AI Generated Content With TensorFlow Paid Members Public
With the plethora of open-source language models, it's incredibly difficult to determine if a piece of text is AI generated. However, with a good dataset, you can train a model in TensorFlow to detect if a large language model generated text. It's such an interesting problem
Convolutional Neural Networks in JAX: Ultimate Guide Paid Members Public
JAX is a high performance library that offers accelerated computing through XLA and Just In Time Compilation. It also has handy features that enable you to write one codebase that can be applied to batches of data and run on CPU, GPU, or TPU. However, one of its biggest selling
Implementing Transformer decoder for text generation in Keras and TensorFlow Paid Members Public
The recent wave of generative language models is the culmination of years of research starting with the seminal "Attention is All You Need" paper. The paper introduced the Transformer architecture that would later be used as the backbone for numerous language models. These text generation language models are
Text Classification With BERT and KerasNLP Paid Members Public
BERT is a popular Masked Language Model. Some words are hidden from the model and trained to predict them. The model is bidirectional, meaning it has access to the words to the left and right, making it a good choice for tasks such as text classification. Training BERT can quickly
How to Build Large Language Model Applications with PaLM API and LangChain Paid Members Public
You can now use Generative AI Studio on Vertex AI to prompt, tune and deploy Google's foundational models, including PaLM 2, Imagen, Codey, and Chirp. You can easily design and fine-tune your prompt and copy the code required to deploy the solution. Leveraging a foundational model is a
How to Perform Image Augmentation With KerasCV Paid Members Public
Training computer vision models with little data can lead to poor model performance. This problem can be solved by generating new data samples from the existing images. For example, you can create new images by flipping and rotating the existing ones. Generating new image samples from existing ones is known
How to Build LLM Applications With LangChain and Openai Paid Members Public
LangChain is an open-source tool for building large language model (LLM) applications. It supports a variety of open-source and closed models, making it easy to create these applications with one tool. Some of the modules in Langchain include: * Models for supported models and integrations * Prompts for making it easy to
