AWS Machine Learning Blog

MAY 2, 2023

JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversation generation and image generation. LLMs can store factual knowledge by training their parameters on a large corpus of natural language data.

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Heartbeat

AUGUST 23, 2023

image source: stoodnt Time is important in the broad domain of legal discovery, where mountains of documents hide the answers to difficult cases. Every minute spent digesting jargon-filled texts and searching through mountains of legal documents delays justice and incurs significant costs.

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Heartbeat

FEBRUARY 27, 2023

Gaming: DRL has been used to develop AI agents that can compete in video games as well as chess and other games. Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. A diagram of how a GAN works.

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AWS Machine Learning Blog

AUGUST 14, 2023

This is useful where limited labeled data is available for training. Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. You can also access the foundation models thru Amazon SageMaker Studio.

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Heartbeat

MARCH 15, 2023

An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019. What is RoBERTa?

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AWS Machine Learning Blog

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

They can understand conversational language and respond naturally. However, chatbots that merely answer basic questions have limited utility. One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems.

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Marktechpost

MAY 15, 2024

Workplace creativity, analysis, and decision-making are all being revolutionized by AI. P ecan AI Pecan AI automates predictive analytics to solve today’s business challenges: shrinking budgets, rising costs, and limited data science and AI resources. AdCreative.ai

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Bugra Akyildiz

MARCH 9, 2024

After disastrous rollout of Gemini, they wanted to also open-source smaller models for community to try out and adopting for their GCP(Google Cloud Platform) more when it comes to try out the models. A new Responsible Generative AI Toolkit provides guidance and essential tools for creating safer AI applications with Gemma.

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Topbots

SEPTEMBER 11, 2023

Note: This article is the first in a series called “Dissecting AI applications”, which introduces a mental model for AI systems. The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department.

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AWS Machine Learning Blog

APRIL 26, 2024

Today, we are excited to announce that the DBRX model , an open, general-purpose large language model (LLM) developed by Databricks , is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. The model underwent pre-training using a dataset consisting of 12 trillion tokens of text and code.

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Viso.ai

JANUARY 2, 2024

Llama 2 is here – the latest pre-trained large language model (LLM) by Meta AI, succeeding Llama version 1. Our software helps industry leaders efficiently implement real-world deep learning AI applications with minimal overhead for all downstream tasks. Get a demo. What is Llama 2? Training Loss for all Llama 2 Models compared.

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Marktechpost

SEPTEMBER 1, 2023

Workplace creativity, analysis, and decision-making are all being revolutionized by AI. P ecan AI Pecan AI automates predictive analytics to solve today’s business challenges: shrinking budgets, rising costs, and limited data science and AI resources. AdCreative.ai

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The MLOps Blog

MAY 10, 2023

Saving vs Storing vs Packaging ML Models | Source: Author Saving a model refers to the process of saving the model’s parameters, weights, etc., It is crucial to save, store, and package these models for their future use and deployment to production. Reusability & reproducibility: Building ML models is time-consuming by nature.

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Marktechpost

DECEMBER 13, 2023

Workplace creativity, analysis, and decision-making are all being revolutionized by AI. P ecan AI Pecan AI automates predictive analytics to solve today’s business challenges: shrinking budgets, rising costs, and limited data science and AI resources. AdCreative.ai

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AWS Machine Learning Blog

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. The following diagram illustrates the architecture of this solution.

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AWS Machine Learning Blog

AUGUST 15, 2023

Generative AI, particularly in the realm of natural language processing and understanding (NLP and NLU), has revolutionized the way we comprehend and analyze text, enabling us to gain deeper insights efficiently and at scale. According to a study, by 2021, videos already make up 81% of all consumer internet traffic.

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Allen AI

NOVEMBER 27, 2023

Fig 1: SPECTER2 uses adapters to generate task-specific embeddings for an input document TL;DR: We create SPECTER2 , a new scientific document embedding model via a 2-step training process on large datasets spanning 9 different tasks and 23 fields of study. A variety of such embedding models are available for users to choose from.

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Chatbots Life

MAY 12, 2023

How ChatGPT really works and will it change the field of IT and AI? — a Unfortunately, the model’s release wasn’t accompanied by a research paper, and its only official description can be found on the OpenAI blog. The second part of the article discusses the possible use cases of ChatGPT and their impact on respected industries.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. Both JupyterLab and Code Editor can be launched using a flexible workspace called Spaces.

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Artificial Corner

JUNE 6, 2023

Uncover the evolution of data engineering, from storage to real-time processing and AI integration. Then, we will dive deep into how real-time processing and AI integration have revolutionized data pipelines, empowering advanced analytics, intelligent applications, and data-driven decision-making.

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Bugra Akyildiz

DECEMBER 3, 2022

Even though there are some limitations that are outlined in the blog post, the bot is really good and has a large breadth of topics that it can hold intelligible conversations. The model itself is a subset of a family language of models that were published before by OpenAI called InstructGPT.

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AWS Machine Learning Blog

NOVEMBER 10, 2023

On top of using HPO as a one-time optimization at the end of the model creation cycle, we can also use it across multiple steps in a conversational manner. We can revise the hyperparameters and their value ranges based on what we learned and therefore turn this optimization effort into a conversation.

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Mlearning.ai

MARCH 2, 2023

This blog post promises to be easier to understand than the underlying research paper, especially for readers not that familiar with the field. The paper has had a major impact on the field of NLP, and some of its findings are still being applied to current language models. Importance of Understanding BERT Today II. 1 Architecture III.2

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Heartbeat

DECEMBER 28, 2023

The Magical World of Edge AI and Federated Learning: Unleashing the Power of Smart Devices and Protecting Data Privacy Hello there, tech enthusiasts! Welcome to Edge AI and Federated Learning, where machines transform into intelligent partners, making instantaneous choices.

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John Snow Labs

JULY 19, 2023

This blog post explores the emerging players in the commercial large language model (LLM) landscape, namely Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. We discuss their unique offerings, compliance with the EU AI Act, pricing, and performance on various tasks. billion in funding by June 2023.

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The MLOps Blog

MARCH 21, 2023

This guide is a result of my conversations with platform and ML engineers and public resources from platform engineers in companies like Shopify , Lyft , Instacart , and StitchFix. Moving across the typical machine learning lifecycle can be a nightmare. To do that, you’d need to take a systematic approach to MLOps —enter platforms!

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Bugra Akyildiz

FEBRUARY 24, 2024

tokens of synthetic and web datasets, leveraging next-word prediction and a 2048 context length. Responsible Development: Phi-2 exhibits better behavior regarding toxicity and bias compared to some larger,open-source models. Training Details: Trained on 1.4T

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deepsense.ai

FEBRUARY 28, 2024

More than a year has passed since the release of ChatGPT, which led hundreds of millions of people to not only talk about AI, but actively use it on a daily basis. This article will be a summary of the most recent trends around LLMs, focusing on LLM democratization – making generative AI easily accessible to everyone.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. 2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world.

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