AWS Machine Learning Blog

MAY 17, 2023

The performance and quality of the models also improved drastically with the number of parameters. These models span tasks like text-to-text, text-to-image, text-to-embedding, and more. You can use large language models (LLMs), more specifically, for tasks including summarization, metadata extraction, and question answering.

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Large Language Models Auto-complete Artificial Intelligence Artificial Intelligence 85

Towards AI

APRIL 7, 2024

Source : Image generated by author using Yarnit It is quite astonishing how Large Language Models or LLMs (GPT, Claude, Gemini etc.) It’s a powerful technology that can tackle a variety of natural language tasks. In their paper, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”, Wei et.

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LLM Auto-complete Prompt Engineer Prompt Engineering 77

Unite.AI

NOVEMBER 15, 2024

. “weathered wooden rocking chair with intricate carvings,”) Meshy AI's technology understands both the geometry and materials of objects, creating realistic 3D models with proper depth, textures, and lighting! Describe what you want to create and the AI will generate a beautifully textured model in under a minute.

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AI AI Prompt Engineer Prompt Engineering 276

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. Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks.

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Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

AUGUST 22, 2024

The following figure shows the Discovery Navigator generative AI auto-summary pipeline. The OCR converted medical record pages are processed through Verisk’s AI models and select pages are sent to Amazon Bedrock using AWS PrivateLink , for generating visit summaries.

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Generative AI Auto-complete Software Development Automation 112

Flipboard

JUNE 13, 2023

Large language models are great at this kind of focused, pattern-based code building. This said, it’s important to emphasize that we still need experienced and skilled engineers for 90% of our work. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying.

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Generative AI Auto-complete Software Engineer AI 181

The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. What is Large Language Model Operations (LLMOps)? What the future of LLMOps looks like.

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Prompt Engineer Prompt Engineering Large Language Models LLM 52

AWS Machine Learning Blog

MAY 17, 2024

They’re capable of performing a wide variety of general tasks with a high degree of accuracy based on input prompts. Large language models (LLMs) are one class of FMs. This includes task context, data that you pass to the model, conversation and action history, instructions, and even examples.

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Generative AI LLM Prompt Engineer Prompt Engineering 135

The MLOps Blog

SEPTEMBER 26, 2024

Hallucinations can be detected by verifying the accuracy and reliability of the model’s responses. Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. In extreme cases, certain tokens can completely break an LLM. In 2022, when GPT-3.5

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LLM Auto-complete Prompt Engineer Prompt Engineering 72

AWS Machine Learning Blog

DECEMBER 5, 2023

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. When this is complete, the document can be routed to the appropriate department or downstream process. The following diagram outlines the proposed solution architecture. append(e["Text"].upper())

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Metadata Auto-classification Auto-complete Content Enrichment 124

Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Across thirteen sessions, the speakers commented on the current and future state of artificial intelligence and machine learning.

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Data Scientist Large Language Models Machine Learning Auto-complete 52

Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Across thirteen sessions, the speakers on the current and future state of artificial intelligence and machine learning. Learn more, live!

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Data Scientist Large Language Models Machine Learning Auto-complete 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.

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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 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.

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Prompt Engineer Prompt Engineering Deep Learning Large Language Models 97

AWS Machine Learning Blog

JUNE 20, 2024

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. A score of 1 means that the generated answer conveys the same meaning as the ground truth answer, whereas a score of 0 suggests that the two answers have completely different meanings.

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Auto-classification LLM Prompt Engineer Prompt Engineering 131

The MLOps Blog

JUNE 27, 2023

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues. Is it fast and reliable enough for your workflow?

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Machine Learning Metadata Data Scientist Data Quality 134

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.

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Data Scientist Generative AI Machine Learning Auto-complete 115

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.

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Unite.AI

JUNE 15, 2023

The company’s AI can learn from internal documents, email, chat and even old support tickets to automatically resolve auto-route tickets correctly, and quickly surface the most relevant institutional knowledge. But for example, GPT two was launched, I believe in 2018, 2019, and open source, and there were other models like T5.

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Large Language Models Chatbots Generative AI Auto-complete 246

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 119

Topbots

JUNE 29, 2023

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 3] provides a more complete survey of Text2SQL data augmentation techniques.

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Auto-complete Algorithm Data Scientist Auto-classification 52