AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. No legacy process is safe.

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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 207

John Snow Labs

JULY 28, 2023

Medical Large Language Models LLMs In recent years, Large Language Models (LLMs) have revolutionized various industries by their ability to process and generate human-like text. Using our software on AWS can help you reduce your overall IT costs. to $253.56/hr,

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Large Language Models NLP Chatbots Deep Learning 52

IBM Journey to AI blog

NOVEMBER 13, 2023

Machine learning relies on large language models to perform high-level natural language processing (NLP) like text classification, sentiment analysis and machine translation, and Kubernetes helps speed the deploy of large language models automate the NLP process.

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DevOps Automation Software Development Large Language Models 273

The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera.

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NLP LLM Large Language Models Natural Language Processing 115

Topbots

AUGUST 31, 2023

For instance, if a female user expresses an interest in technology, the model might suggest roles like “graphic designer” or “social media manager,” inadvertently overlooking more technical positions like “software developer” or “data scientist.”

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Large Language Models LLM Chatbots Natural Language Processing 80

Unite.AI

FEBRUARY 7, 2024

As we stand on the brink of this new frontier, the question remains: How do we build a data fortress in the age of generative AI and Large Language Models (LLMs)? Striking a delicate balance between the imperative of data utilization and the critical need for data protection emerges as one of the defining challenges of our time.

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Generative AI Natural Language Processing Large Language Models AI 182

Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. It begins by emphasizing the importance of understanding how these models respond to natural language prompts.

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Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings.

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Large Language Models Generative AI LLM AI 89

AWS Machine Learning Blog

MARCH 18, 2024

NVIDIA NIM m icroservices now integrate with Amazon SageMaker , allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. Qing Lan is a Software Development Engineer in AWS. In his spare time, he enjoys running, cycling and ski mountaineering.

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LLM Deep Learning Machine Learning Large Language Models 95

IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

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Auto-complete Generative AI Artificial Intelligence Artificial Intelligence 204

ODSC - Open Data Science

MAY 9, 2024

With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. Trending Large Language Models DBRX This model hopes to shake the world of large language models by setting a new standard for enterprise-grade natural language processing.

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AI Tools Large Language Models Machine Learning Natural Language Processing 52

Heartbeat

FEBRUARY 29, 2024

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems.

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Software Engineer Software Development LLM Large Language Models 52

Unite.AI

AUGUST 21, 2023

OpenAI advancements in Natural Language Processing (NLP) are marked by the rise of Large Language Models (LLMs), which underpin products utilized by millions, including the coding assistant GitHub Copilot and the Bing search engine.

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ChatGPT Prompt Engineer Prompt Engineering Python 246

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. This spike in NLP underscores its central role in the development and application of generative AI technologies.

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Prompt Engineer Prompt Engineering Generative AI NLP 182

Marktechpost

SEPTEMBER 26, 2023

An AI Copilot is an artificial intelligence system that assists developers, programmers, or other professionals in various tasks related to software development, coding, or content creation. AI Copilots leverage various artificial intelligence, natural language processing (NLP), machine learning, and code analysis.

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Data Ingestion Natural Language Processing Artificial Intelligence Artificial Intelligence 113

IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Chatbots Life

MAY 16, 2023

10CLOUDS Year Founded : 2009 HQ : Warsaw, Poland Team Size : 51–200 employees Clients : TrustStamp (Identity verification), Emergent Tech (G-Coin), AlephZero (Blockchain), Tapeke (BitCoin Software Development), Tagasauris (Crowdsourcing Software Development), CallerSmart. Elite Service Delivery partner of NVIDIA.

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Generative AI Chatbots Conversational AI Software Development 98

Topbots

JULY 6, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) and Visual Language Models (VLMs) in 2023 1. What are the results? What is the goal?

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LLM Large Language Models Natural Language Processing OpenAI 52

IBM Journey to AI blog

DECEMBER 15, 2023

Its strong integration with Python libraries and support for GPU acceleration ensures efficient model training and experimentation. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research.

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AI Tools Deep Learning Computer Vision AI 163

O'Reilly Media

AUGUST 8, 2023

Our users evidently prefer LLM to spelling out “Large Language Models,” but if you add these two search terms together, the total number of searches for July is within 1% of Generative AI. That makes sense; although it’s still early, Langchain looks like it will be the cornerstone of LLM-based software development.

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ChatGPT Large Language Models Machine Learning LLM 71

Unite.AI

JULY 26, 2023

Prompt Engineering is the art of crafting precise, effective prompts/input to guide AI ( NLP /Vision) models like ChatGPT toward generating the most cost-effective, accurate, useful, and safe outputs. It's a blend of: Understanding of the LLM: Different language models may respond variably to the same prompt.

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Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

AWS Machine Learning Blog

NOVEMBER 9, 2023

Our goal with CodeWhisperer customization capability is to enable organizations to tailor the CodeWhisperer model using their private repositories and libraries to generate organization-specific code recommendations that save time, follow organizational style and conventions, and avoid bugs or security vulnerabilities.

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Natural Language Processing NLP Large Language Models LLM 78

AWS Machine Learning Blog

NOVEMBER 27, 2023

of Large Model Inference (LMI) Deep Learning Containers (DLCs) and adds support for NVIDIA’s TensorRT-LLM Library. We can specify the Hugging Face model ID or Amazon Simple Storage Service (Amazon S3) location of the model using the model_id parameter. Qing Lan is a Software Development Engineer in AWS.

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LLM Large Language Models Deep Learning Machine Learning 85

AWS Machine Learning Blog

APRIL 25, 2024

SageMaker features and capabilities help developers and data scientists get started with natural language processing (NLP) on AWS with ease. The integration for this solution involves using Hugging Face’s pre-trained speaker diarization model using the PyAnnote library.

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Auto-complete Python ML Natural Language Processing 89

Snorkel AI

MAY 4, 2023

In the era of large language models (LLMs), your data is the difference maker. Large Language Models (LLMs) such as GPT-4 and LLaMA have revolutionized natural language processing and understanding, enabling a wide range of applications, from conversational AI to advanced text generation.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Snorkel AI

MAY 4, 2023

In the era of large language models (LLMs), your data is the difference maker. Large Language Models (LLMs) such as GPT-4 and LLaMA have revolutionized natural language processing and understanding, enabling a wide range of applications, from conversational AI to advanced text generation.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

NVIDIA

DECEMBER 13, 2023

AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and behaviors that fit fraudulent characteristics. Financial services firms can harness generative AI to develop more intelligent and capable chatbots and improve fraud detection.

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Explainability Neural Network Computer Vision Generative AI 103

AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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Data Ingestion Metadata NLP Data Scientist 108

AWS Machine Learning Blog

APRIL 29, 2024

Historically, natural language processing (NLP) would be a primary research and development expense. Currently, Eddie is working to improve the open-source Metaflow project and is building tools for AI researchers and MLOps developers at Outerbounds.

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ML Python Data Scientist Deep Learning 93

AWS Machine Learning Blog

JUNE 12, 2023

GPT-J is a transformer model trained using Ben Wang’s Mesh Transformer JAX. In this post, we present a guide and best practices on training large language models (LLMs) using the Amazon SageMaker distributed model parallel library to reduce training time and cost.

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Deep Learning Auto-classification Computer Vision Large Language Models 65

NVIDIA

SEPTEMBER 7, 2023

Common consumer frustrations include difficulty with complex digital processes, a lack of helpful and readily available information, insufficient self-service options, long call wait times and communication difficulties with support agents. Text is fed into Minerva CQ’s AI models, which analyze customer sentiment, intent, propensity and more.

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Automation AI AI Conversational AI 120

Chatbots Life

MARCH 17, 2023

Timeline by Antoine Louis on A Brief History of Natural Language Processing Siri, Google Assistant, Cortana, and Alexa, are the successive technologies rolled out in the 20th century. Simply put, GPTs are machine learning models based on the neural network architecture that mimics the human brain.

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Conversational AI ChatGPT Neural Network Chatbots 52

Flipboard

JUNE 20, 2023

A popular example is OpenAI’s ChatGPT, which is powered by a state-of-the-art large language model (LMM). Neuron is an end-to-end software development kit (SDK) that includes a deep learning compiler, runtime, and tools that are natively integrated into the most popular ML frameworks like TensorFlow and PyTorch.

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Machine Learning BERT Deep Learning ML Engineer 94

AWS Machine Learning Blog

OCTOBER 26, 2023

Since its introduction in 2021, Amazon SageMaker Canvas has enabled business analysts to build, deploy, and use a variety of ML models – including tabular, computer vision, and natural language processing – without writing a line of code. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Petroni, F.,

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Generative AI Machine Learning ML AI 84

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.

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Generative AI Deep Learning Machine Learning Python 74

AWS Machine Learning Blog

DECEMBER 22, 2023

Today, we are excited to announce that the Mixtral-8x7B large language model (LLM), developed by Mistral AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. Mixtral-8x7B provides significant performance improvements over previous state-of-the-art models.

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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). His expertise lies in Deep Learning in the domains of Natural Language Processing (NLP) and Computer Vision. Qing Lan is a Software Development Engineer in AWS.

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Auto-complete Deep Learning LLM Software Engineer 69