Viso.ai

APRIL 24, 2023

Get a demo here. Downstream tasks of OCR include Natural Language Processing (NLP) to not only read but also analyze and understand the meaning of text and speech. OCR demo software for testing To see OCR software in action, we found a simple web demo software you can try to use: Text Extractor Tool by Brandfolder.

Computer Vision 52

Computer Vision Algorithm Machine Learning Auto-complete 52

Snorkel AI

JANUARY 18, 2023

For example, he demonstrated AI technologies that would let him generate ideas for movie posters, insert his actors into photographs for ease of shot-planning, artificially change the lighting in post-production and even change a camera angle after the shot had been completed. We will soon make videos of the sessions available.

Auto-complete 52

Auto-complete LLM ML Generative AI 52

Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. In this post, we present a new version of the library, new vectors, new evaluation recipes, and a demo NER project that we trained to usable accuracy in just a few hours. from_disk("./fashion_brands_patterns.jsonl")

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

Viso.ai

DECEMBER 22, 2023

Its creators took inspiration from recent developments in natural language processing (NLP) with foundation models. This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. . The post Segment Anything Model (SAM) Deep Dive – Complete 2024 Guide appeared first on viso.ai.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Viso.ai

DECEMBER 18, 2023

Get a demo. 1: Variational Auto-Encoder. A Variational Auto-Encoder (VAE) generates synthetic data via double transformation, known as an encoded-decoded architecture. Block diagram of Variational Auto-Encoder (VAE) for generating synthetic images and data – source. Technique No.1:

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

AWS Machine Learning Blog

APRIL 17, 2023

SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. A complete example that illustrates the no-code option can be found in the following notebook.

Prompt Engineering 95

Prompt Engineering Prompt Engineer Deep Learning Machine Learning 95

The MLOps Blog

JANUARY 19, 2024

Related post Tokenization in NLP: Types, Challenges, Examples, Tools Read more For training, we’ll create a so-called prompt that contains not only the question and the context but also the answer. <pre class =" hljs " style =" display : block; overflow-x: auto; padding: 0.5 For GPT2-large, instead of needing 2.9

LLM 52

LLM Auto-complete Large Language Models Natural Language Processing 52

Unite.AI

SEPTEMBER 4, 2023

Technical Deep Dive of Llama 2 For training the Llama 2 model; like its predecessors, it uses an auto-regressive transformer architecture , pre-trained on an extensive corpus of self-supervised data. For those interested in experiencing this, a live demo is available at Llama2.ai. For this guide, we use meta-llama/Llama-2-7b-chat-hf.

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AWS Machine Learning Blog

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. In contrast to single-generation approaches like CoT, the self-consistency sample-and-marginalize procedure creates a range of model completions that lead to a more consistent solution. split("/")[-1]}.out'

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Auto-complete NLP Prompt Engineer Prompt Engineering 125

AWS Machine Learning Blog

NOVEMBER 1, 2023

The demo implementation code is available in the following GitHub repo. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring. This structure will allow for explicit reasoning steps to complete sub-tasks.

Auto-classification 115

Auto-classification LLM Auto-complete Generative AI 115

Mlearning.ai

MAY 3, 2023

The built APP provides an easy web interface to access the large language models with several built-in application utilities for direct use, significantly lowering the barrier for the practitioners to use the LLM’s Natural Language Processing (NLP) capabilities in an amateur way focusing on their specific use cases.

Large Language Models 52

Large Language Models Python Auto-complete Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

time.sleep(10) The transcription job will take a few minutes to complete. When the job is complete, you can inspect the transcription output and check the plain text transcript that was generated (the following has been trimmed for brevity): # Get the Transcribe Output JSON file s3 = boto3.client('s3') Current status is {job_status}.")

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Auto-complete Machine Learning Generative AI Large Language Models 107