Mlearning.ai

JULY 4, 2023

Once your CUDA installation completes, reboot your computer. Here are some I found useful: --auto-devices: Automatically uses both the GPU and the CPU as needed. --gpu-memory: gpu-memory: If you don’t want the loaded model to use all of your available GPU memory, you can limit how much GPU memory can be used (I set this to 8Gb).

LLM 98

LLM Auto-complete Python ML 98

AWS Machine Learning Blog

AUGUST 14, 2023

With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users. However, we need to ensure that the LLMs limit the responses to company data, thereby mitigating model hallucinations.

Generative AI 69

Generative AI LLM NLP Large Language Models 69

Artificial Corner

AUGUST 29, 2023

Spark conversations through the cloud with serverless GPUs powering your most advanced Hugging Face large language models. For developers working with large language models, the constraints of hardware can often hold back the boundaries of what’s possible. image created by the author and Leonardo.ai

LLM 98

LLM Python Large Language Models Auto-complete 98

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. In zero-shot learning, no examples of task completion are provided in the model.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Unite.AI

SEPTEMBER 11, 2023

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs.

Python 328

Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

APRIL 25, 2024

The added benefit of asynchronous inference is the cost savings by auto scaling the instance count to zero when there are no requests to process. Hugging Face is a popular open source hub for machine learning (ML) models. Prerequisites Complete the following prerequisites: Create a SageMaker domain.

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Auto-complete Python ML Natural Language Processing 95

AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

Large Language Models 78

Large Language Models LLM Machine Learning ML 78

AWS Machine Learning Blog

MAY 7, 2024

The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. You can find other Hugging Face models that are better suited for other languages.

Automation 105

Automation Auto-complete DevOps UX Design 105

AWS Machine Learning Blog

SEPTEMBER 5, 2023

Foundation models are a class of generative AI models that are capable of understanding and generating human-like content, thanks to the vast amounts of unstructured data they have been trained on. You need to first register your endpoint variant with Application Auto Scaling, define a scaling policy, and then apply the scaling policy.

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Auto-complete Python Computer Vision Large Language Models 93

Mlearning.ai

FEBRUARY 19, 2023

Natural Language Processing (NLP) NLP is subset of Artificial Intelligence that is concerned with helping machines to understand the human language. NLP is a branch of AI that focuses on the use of natural human language for various computing applications.

Auto-classification 52

Auto-classification Natural Language Processing Auto-complete NLP 52

AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

Auto-complete 84

Auto-complete LLM Deep Learning Auto-classification 84

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching. append(e["Text"].upper())

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Metadata Auto-classification Auto-complete Content Enrichment 98

AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion.

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LLM Large Language Models Chatbots Generative AI 90

Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. The same approach can be used with different models and vector databases.

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Auto-complete LLM Machine Learning Natural Language Processing 128

AWS Machine Learning Blog

OCTOBER 11, 2023

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? The decode phase includes the following: Completion – After the prefill phase, you have a partially generated text that may be incomplete or cut off at some point. The default is 32.

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Auto-complete LLM Deep Learning Machine Learning 95

AWS Machine Learning Blog

SEPTEMBER 25, 2023

Transformers are slow and memory-hungry on generating long text sequences due to the sheer size of the models. Large language models (LLMs) used to generate text sequences need immense amounts of computing power and have difficulty accessing the available high bandwidth memory (HBM) and compute capacity.

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Auto-complete Deep Learning Machine Learning Computer Vision 94

The MLOps Blog

JANUARY 19, 2024

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. You have a valuable dataset and can choose from various base models. These models are usually based on an architecture called transformers.

LLM 52

LLM Auto-complete Large Language Models Natural Language Processing 52

AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English.

Auto-complete 86

Auto-complete ML Deep Learning Generative AI 86

AWS Machine Learning Blog

JUNE 13, 2023

SupportGPT leverages state-of-the-art Information Retrieval (IR) systems and large language models (LLMs) to power over 30 million customer interactions annually. Forethought uses per-customer fine-tuned models to detect customer intents in order to solve customer interactions. 2xlarge instances.

Generative AI 65

Generative AI Auto-complete AI Modeling Machine Learning 65

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.

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Auto-complete Machine Learning ML Python 97

AWS Machine Learning Blog

MAY 12, 2023

To get started, complete the following steps: On the File menu, choose New and Terminal. Use CodeWhisperer in Studio After we complete the installation steps, we can use CodeWhisperer by opening a new notebook or Python file. To get started, complete the following steps: On the File menu, choose New and Terminal.

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Auto-complete Machine Learning ML Python 79

AWS Machine Learning Blog

JUNE 13, 2023

Last week, Technology Innovation Institute (TII) launched TII Falcon LLM , an open-source foundational large language model (LLM). Legacy hosting solutions used for smaller models typically don’t offer this type of functionality, adding to the difficulty. code_falcon40b_deepspeed/model.py add_as_json(result) That’s it!

Auto-complete 72

Auto-complete Deep Learning LLM Software Engineer 72

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

AWS Machine Learning Blog

APRIL 16, 2024

Then we show how you can enhance the in-notebook SQL experience using Text-to-SQL capabilities provided by advanced large language models (LLMs) to write complex SQL queries using natural language text as input. Complete the following steps: On the Secrets Manager console, choose Store a new secret.

Data Scientist 90

Data Scientist Generative AI ML Machine Learning 90

The MLOps Blog

JULY 18, 2023

I think another huge component, as I kind of was mentioning earlier, is Conversational AI tends to require large pipelines of machine learning. You usually cannot do a one-shot, “here’s a model,” then it handles everything no matter what you’re reading today. And so we actually need to have a full pipeline of models.

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Conversational AI Natural Language Processing AI AI 52

AWS Machine Learning Blog

MAY 4, 2023

Today, we are excited to announce that Amazon SageMaker supports AWS Inferentia2 (ml.inf2) and AWS Trainium (ml.trn1) based SageMaker instances to host generative AI models for real-time and asynchronous inference. ml.inf2 instances are available for model deployment on SageMaker in US East (Ohio) and ml.trn1 instances in US East (N.

Generative AI 76

Generative AI Deep Learning Machine Learning Python 76

Allen AI

AUGUST 18, 2023

AI2 Dolma: 3 Trillion Token Open Corpus for Language Model Pretraining Since March, we at the Allen Institute for AI have been creating OLMo , an open language model to promote the study of large-scale NLP systems. A significant portion of web crawled data is ill-suited for language model training (e.g.,

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Auto-complete Large Language Models NLP Explainability 98

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

IDP 81

IDP Auto-classification Machine Learning Auto-complete 81

AWS Machine Learning Blog

DECEMBER 14, 2023

Complete the following steps to edit an existing space: On the space details page, choose Stop space. To start using Amazon CodeWhisperer, make sure that the Resume Auto-Suggestions feature is activated. Choose Create JupyterLab space. For Name , enter a name for your Space. Choose Create space. Choose Run space to relaunch the space.

Generative AI 98

Generative AI AI Tools ML AI 98

AWS Machine Learning Blog

APRIL 17, 2023

Quantization and compression can reduce model size and serving cost by reducing the precision of weights or reducing the number of parameters via pruning or distillation. Compilation can optimize the computation graph and fuse operators to reduce memory and compute requirements of a model. For more details, refer to the GitHub repo.

Prompt Engineer 78

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 78

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.

LLM 52

LLM Auto-complete Generative AI ML 52

Unite.AI

SEPTEMBER 4, 2023

Large Language Models (LLMs) capable of complex reasoning tasks have shown promise in specialized domains like programming and creative writing. Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

Unite.AI

APRIL 18, 2024

From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception. Described as an AI-powered programming companion, it presents auto-complete suggestions during code development.

Software Engineer 261

Software Engineer Software Development LLM AI 261

AWS Machine Learning Blog

MAY 30, 2023

Furthermore, the CPUUtilization metric shows a classic pattern of periodic high and low CPU demand, which makes this endpoint a good candidate for auto scaling. For information, see Automatically Scale Amazon SageMaker Models. If all are successful, then the batch transform job is marked as complete.

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Auto-complete ML Machine Learning Computer Vision 68

Mlearning.ai

MAY 3, 2023

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as ChatGPT, AutoGPT, LLaMa, GPT-J, and GPT4All An introduction to “ pychatgpt_gui” —  A GUI-based APP for LLM’s with custom-data training and pre-trained inferences. The different services provided by this APP are as highlighted.

Large Language Models 52

Large Language Models Python Auto-complete Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring.

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Auto-classification LLM Auto-complete Generative AI 92