Towards AI

FEBRUARY 20, 2024

The new model is great at accurately retrieving within its long context. What happened this week in AI by Louie Last week saw the two debatably largest model updates since GPT-4 revealed within three hours of each other: OpenAI’s Sora text-to-video model and Deepmind’s Gemini Pro 1.5 and just one week after the release of Gemino Ultra 1.0.

Neural Network 80

Neural Network OpenAI LLM Machine Learning 80

Jay Alammar

JANUARY 2, 2022

Translations: Korean , Russian Summary : The latest batch of language models can be much smaller yet achieve GPT-3 like performance by being able to query a database or search the web for information. RETRO was presented in the paper Improving Language Models by Retrieving from Trillions of Tokens.

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AWS Machine Learning Blog

MARCH 28, 2024

The following are the main steps for domain dataset curation: Identify data sources – Potential data sources for domain corpus include open web, Wikipedia, books, social media, and internal documents. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv.

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Large Language Models LLM Generative AI Machine Learning 95

Towards AI

JANUARY 11, 2024

The GPT Store is envisioned as a marketplace of generative chatbots, where each bot is an instance of OpenAI’s GPT-4 model, customized with specific prompts (instructions), a set of tools (retrieval, dalle, browsing, code interpreter & custom actions), and the ability to load files to add custom knowledge to use with retrieval.

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Towards AI

JANUARY 30, 2024

The model can collect information from patients and provide clear explanations of medical conditions in a wellness visit consultation. The model can collect information from patients and provide clear explanations of medical conditions in a wellness visit consultation. Why should you care?

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Pragnakalp

JANUARY 3, 2024

This blog dives deep into the world of Retrieval Augmented Generation (RAG) and equips you with the tools and knowledge to build your own RAG app using Mistral AI and Langchain. To achieve this, language models need to acquire more information to provide better answers. We can accomplish or achieve this goal using the RAG concept.

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Deep Learning Algorithm Big Data Computer Scientist 52

Unite.AI

FEBRUARY 15, 2024

On top of that, you have to go through these scribbles afterward and somehow turn them into organized and actionable information that can be sent to your coworkers. alternatives I've tried so you can make the most informed decision. I don't know about you, but I hate taking meeting notes. How much more annoying can this be?

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AI AI Natural Language Processing Automation 147

TheSequence

MARCH 6, 2024

You can subscribe to The Sequence for more exclusive AI research and tech content: TheSequence is a reader-supported publication. Could you share some of the best practices you've adopted to enhance reasoning within LLMs, as well as any new research in this area that you find particularly compelling?

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Generative AI AI AI Automation 64

AWS Machine Learning Blog

JANUARY 26, 2024

Being aware of risks fosters transparency and trust in generative AI applications, encourages increased observability, helps to meet compliance requirements, and facilitates informed decision-making by leaders. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Generative AI LLM ML AI 122

Artificial Corner

JUNE 13, 2023

Response from ChatGPT-4: ChatGPT can change the difficulty level of questions She Had ChatGPT Break Down Topics into Sub-Topics When asked, ChatGPT broke down the major topics into sub-topics to make sure that she covered all the necessary information. No, not in a bad way. Not by cheating or taking the exam for her. The right way.

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ChatGPT Explainability Generative AI Chatbots 97

Viso.ai

MARCH 20, 2024

Applications in Multimodal Learning Models like CLIP Emerging Trends and Future Advancement in Foundation Model Research About Us: Viso Suite is the end-to-end computer vision infrastructure. Foundation models are recent developments in artificial intelligence (AI). Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc.,

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AI Developer AI Development Computer Vision BERT 52

Becoming Human

APRIL 19, 2024

This renders research on safeguarding the use of LLMs crucial and necessary. c) Input: Calculate the total surface area of a cube with a side length of 5 cm. Towards Improving the Safety of LLMs The field of Natural Language Processing has undergone a revolutionary transformation with the advent of Large Language Models (LLMs).

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LLM Large Language Models Algorithm Natural Language Processing 111

Pickl AI

JULY 12, 2023

With Grammarly, students can refine their essays, assignments, and research papers, ensuring their work is error-free and well-written. Students can utilize Wolfram Alpha to tackle challenging math problems, explore scientific concepts, and access a wealth of information for their projects. 10 Best AI Tools for Students 1.

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AI Tools AI AI Algorithm 52

AWS Machine Learning Blog

FEBRUARY 20, 2024

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization easier for the world’s best content creators. This time-consuming process must be completed before content can be dubbed into another language.

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Metadata Auto-complete Machine Learning Deep Learning 94

Pickl AI

SEPTEMBER 12, 2023

After completing a Bachelor of Computer Applications (BCA) degree, many graduates find themselves at a crucial crossroads, eager to delve deeper into the world of information technology and computer science. Web Developer: Web development is a specialized field within software development.

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Data Science Data Scientist Software Development Machine Learning 52

Snorkel AI

MARCH 15, 2023

Jay Alammar, director and engineering fellow at Cohere, presented a talk entitled “Generative AI is… what, exactly?” at Snorkel AI’s recent Foundation Model Virtual Summit. Below follows a transcript of his talk, lightly edited for readability. Let’s start by defining a little bit of what we mean when we say, “Generative AI.”

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Generative AI Prompt Engineer Prompt Engineering AI 52

Snorkel AI

MARCH 15, 2023

Jay Alammar, director and engineering fellow at Cohere, presented a talk entitled “Generative AI is… what, exactly?” at Snorkel AI’s recent Foundation Model Virtual Summit. Below follows a transcript of his talk, lightly edited for readability. Let’s start by defining a little bit of what we mean when we say, “Generative AI.”

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering AI 52

Unite.AI

APRIL 17, 2024

Beyond traditional search engines, these models represent a new era of intelligent Web browsing agents that go beyond simple keyword searches. Web browsing agents have traditionally been used for information retrieval through keyword searches. The architecture of LLM-based agents consists of the following modules.

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LLM BERT Natural Language Processing NLP 236

NLP People

MAY 18, 2018

The third article of the series covers Germany; see our previous articles about Ireland and France RESEARCH GROUPS AND LABS DFKI Language Technology Lab DFKI Language Technology lab is represented by Berlin LT Lab and the Multilingual Technologies Lab in Saarbrücken. Are you looking to study or work in the field of NLP?

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NLP Computational Linguistics Data Mining Natural Language Processing 52

AWS Machine Learning Blog

MAY 25, 2023

A commonly used approach to address this problem is to use a technique called Retrieval Augmented Generation (RAG). in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever.

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LLM Data Ingestion Python ML 76

ML Review

MARCH 5, 2019

Different lenses to see through AI; motivations and introduction to our web app At MTank , we work towards two goals. (1) Part 1: A bird’s eye view of AI research Part 2: Distilling by Embedding What is this and why did you do it? Often, a researcher needs to divide their time between reading, coding, admin, teaching, etc.

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AI Researcher AI Research Neural Network AI 52

AWS Machine Learning Blog

DECEMBER 13, 2023

Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance. Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance.

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ML Automation Metadata Software Development 100

Sebastian Ruder

JUNE 6, 2022

With 1032 accepted papers (604 long, 97 short, 331 in Findings), this post can only offer a glimpse of the diverse research presented at the conference—biased towards my research interests. Steven Bird hosted a panel on language diversity featuring researchers speaking and studying under-represented languages ( slides ).

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NLP Natural Language Processing Computational Linguistics Neural Network 52

AWS Machine Learning Blog

MAY 9, 2024

Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk.

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Insight Engine Generative AI LLM AI 103

AWS Machine Learning Blog

MARCH 28, 2024

However, when building generative AI applications, you can use an alternative solution that allows for the dynamic incorporation of external knowledge and allows you to control the information used for generation without the need to fine-tune your existing foundational model.

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LLM Auto-complete Auto-classification Generative AI 111

Marktechpost

MARCH 28, 2024

Due to the high cost, only a select few influential people in the area were able to create such comprehensive datasets. The Phi models developed by Microsoft were pioneers in this area; they relied heavily on synthetic data for training. These outperformed larger models trained on web datasets for longer periods.

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LLM 133

AWS Machine Learning Blog

AUGUST 14, 2023

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. Instruction tuning is a technique that involves fine-tuning a language model on a collection of NLP tasks using instructions.

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NLP Robotics Prompt Engineer Prompt Engineering 71

Mlearning.ai

DECEMBER 21, 2023

Retrieval Augmented Generation becomes powerful as it provides additional memory and context, and increases the confidence in LLM responses. Many users started using ChatGPT as a source of information, like an alternative to Google. Source : Image by Author The advancements in the LLM space have been mind-boggling.

Large Language Models 94

Large Language Models LLM OpenAI ChatGPT 94

AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Large Language Models Neural Network LLM Chatbots 363

AWS Machine Learning Blog

FEBRUARY 14, 2024

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

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Prompt Engineer Prompt Engineering Generative AI AI Chatbots 115

AWS Machine Learning Blog

APRIL 26, 2024

What is SageMaker JumpStart SageMaker JumpStart is a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval.

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Python ML LLM Generative AI 99

AWS Machine Learning Blog

MARCH 13, 2024

Gemma model Gemma is a family of lightweight, state-of-the-art models built from the same research and technology used to create the Gemini models. Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. The complete notebook is available on GitHub.

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Large Language Models LLM Machine Learning Python 106

O'Reilly Media

JULY 25, 2023

My student and I recently published a research paper on this topic, which we summarized in our Radar article Teaching Programming in the Age of ChatGPT. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. This article summarizes what I learned from that experience.

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ChatGPT UX Design AI Tools Metadata 98

PyImageSearch

SEPTEMBER 18, 2023

zero-shot image classification, text-to-image retrieval, and image similarity). SAM and CLIP Integration As we briefly discussed in the previous tutorial, the CLIP model is a recent foundational model for computer vision that utilizes large-scale web-based image-text data to train strong representations that encode semantic knowledge.

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Computer Vision Deep Learning AI AI 67

AWS Machine Learning Blog

DECEMBER 5, 2023

Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed by various organizations.

Metadata 98

Metadata Auto-classification Auto-complete Content Enrichment 98

Bugra Akyildiz

MARCH 16, 2024

Articles Vgel wrote a blog post on the representation engineering, focusing on the control vector in LLMs. If you are interested and want to learn about AI safety and how to customize an already trained LLM, this post goes over couple of different ways of doing so. The code is also available in GitHub. The code is also available in GitHub.

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Metadata LLM Machine Learning Python 59

AWS Machine Learning Blog

DECEMBER 6, 2023

Fortunately, we can also use source knowledge to inform our LLMs. Source knowledge is information fed into the LLM through an input prompt. One popular approach to providing source knowledge is Retrieval Augmented Generation (RAG). One popular approach to providing source knowledge is Retrieval Augmented Generation (RAG).

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LLM Metadata ML Machine Learning 91