FlowingData

MAY 5, 2023

You might’ve heard about large language models lately. Aatish Bhatia, for NYT’s The Upshot, walks you through how such a model “learns” to write based on a relatively small body of text. Bhatia used nanoGPT , an open source library, to model Jane Austen, Shakespeare, and Star Trek: The Next Generation.

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FlowingData

NOVEMBER 24, 2023

For The New Yorker, Angie Wang draws parallels between toddler learning behavior and training large language models , but more importantly, where they diverge. Tags: AI , children , illustration , New Yorker They are the least useful, the least creative, and the least likely to pass a bar exam.

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Dataconomy

JUNE 14, 2023

OpenAI has announced the release of their upgraded models, GPT-3.5-turbo turbo vs GPT-4 OpenAI has restructured their pricing with these new models. This is a feature that lets developers instruct the models to carry out specific programming functions. How to optimize usage of the models considering the new pricing?

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FlowingData

APRIL 2, 2024

OpenAI previewed Voice Engine , a model to generate voices that mimic, using just a 15-second audio sample: We first developed Voice Engine in late 2022, and have used it to power the preset voices available in the text-to-speech API as well as ChatGPT Voice and Read Aloud. Tags: ethics , generative , OpenAI , voice

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Flipboard

JUNE 11, 2023

GitHub Copilot , built on top of OpenAI Codex , a system that translates natural language to code, can make code recommendations in different programming languages based on the appropriate prompts. ChatGPT, by itself, is just a natural-language interface for the underlying GPT-3 (and now GPT-4 ) language model.

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AWS Machine Learning Blog

MAY 15, 2024

We cover the technical implementation using the Anthropic Claude large language model (LLM) on Amazon Bedrock and AWS Lambda deployed with the AWS Serverless Application Model (AWS SAM). model on Amazon Bedrock to generate exam questions and answers as a JSON file. For more information, see Model access.

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Towards AI

DECEMBER 28, 2023

Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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AWS Machine Learning Blog

OCTOBER 6, 2023

As we delve deeper into the digital era, the development of multimodality models has been critical in enhancing machine understanding. These models process and generate content across various data forms, like text and images. In this post, we provide an overview of popular multimodality models.

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AWS Machine Learning Blog

MARCH 13, 2024

By orchestrating toxicity classification with large language models (LLMs) using generative AI, we offer a solution that balances simplicity, latency, cost, and flexibility to satisfy various requirements. Latency and cost are also critical factors that must be taken into account.

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Data Science Dojo

AUGUST 17, 2023

Embeddings are a key building block of large language models. They are used to represent words as vectors of numbers, which can then be used by machine learning models to understand the meaning of text. This can make it difficult for machine learning models to learn the correct meaning of words.

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Data Science Dojo

MAY 18, 2023

In this panel, we will discuss how MLOps can help overcome challenges in operationalizing machine learning models, such as version control, deployment, and monitoring. It covers basic concepts such as data processing, feature engineering, data visualization, modeling, and model evaluation. Want to dive deep into Python?

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FlowingData

NOVEMBER 17, 2023

It will emphasize real-world relevance via concrete takeaways from case studies of modern algorithms, including those in criminal justice, healthcare, and large language models like ChatGPT. Tags: algorithm , bias , Coursera , Fred Hutchinson Cancer Center It’s geared for beginners and no coding is required.

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FlowingData

MARCH 15, 2024

Tags: AI , chatbot , Guardian , Large Language Model One part of me feels like this isn’t the way to preserve a memory of someone who is gone, but the other part feels that I would do the same thing if I were in her situation and had the opportunity.

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Towards AI

MARCH 31, 2024

For example, BERT-based models excel at classification tasks. GPT-based language models, on the other hand, are particularly powerful for text-generation tasks. T5 and BARD-based models are well-suited for translation. Next, we’ll leverage a RoBERTa-base model with the transformers library. Here’s a scenario.

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FlowingData

APRIL 25, 2023

Here’s what patterns emerged when we examine the company’s name through a language model. Tags: business , cannabis , Washington Post , words The premise is that businesses should aim for brand differentiation, and if all the dispensaries have similar names, it’s tough for any one to stand out.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Pre-trained language models In this post, we experimented with Anthropic’s Claude 3 Sonnet model, which is available on Amazon Bedrock.

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Dataconomy

FEBRUARY 9, 2024

Artificial Intelligence (AI) is a rapidly evolving field, and in the domain of language models, we’re witnessing an exciting showdown. What are these models, how do they stack up, and which reigns supreme? ChatGPT and Gemini are both examples of large language models (LLMs).

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Data Science Dojo

JANUARY 19, 2024

Let’s break down this fascinating concept into digestible pieces, using real-world examples and simple language. Consider a weather prediction model : by feeding it historical weather data, it learns to predict future weather patterns. What is a neural network? Imagine a neural network as a mini-brain in your computer.

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Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

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AssemblyAI

MARCH 3, 2024

Today, market research platforms are turning to AI models, such as AI Speech-to-Text, Audio Intelligence models, and Large Language Models (LLMs), to build suites of advanced analysis tools for their customers. Produce digestible insights that can be easily categorized, tagged, and searched.

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Hacker News

MARCH 25, 2022

So, What’s a Transformer Model? A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date.

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Google Research AI blog

JUNE 7, 2023

Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. This is the largest published effort of this type to date.

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Snorkel AI

JUNE 12, 2023

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.

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Snorkel AI

MARCH 30, 2023

At the forefront of this Snorkel Flow release are new capabilities for adapting foundation models for enterprise use. These capabilities allow enterprises to fine-tune foundation models for complex, domain-specific tasks or distill them into smaller, simpler models that can be deployed within existing cost and governance constraints.

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Snorkel AI

JUNE 12, 2023

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.

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Towards AI

JUNE 24, 2023

But how do these AI-powered language models actually work in business situations? In the following paragraphs, I’ll explain the advantages of using DAM with AI models like ChatGPT. Instead of browsing through folders, you can tell ChatGPT to “find PNG files tagged with animals in the past 2 months”.

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Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language.

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Heartbeat

APRIL 17, 2023

Photo by Shahadat Rahman on Unsplash Introduction Machine learning (ML) focuses on developing algorithms and models that can learn from data and make predictions or decisions. Part-of-speech (POS) tagging: Each word in the text is tagged with its part-of-speech (e.g., What is Named Entity Recognition (NRE)?

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AssemblyAI

MAY 4, 2023

Thankfully, significant strides in AI research–like the research behind Stable Diffusion, modern Large Language Models, and Poisson Flow Generative Models–have now made AI a formidable co-pilot to help companies ask the right questions, make sense of patterns, and build better products.

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Dataconomy

AUGUST 17, 2023

Whether you’re an AI developer or just curious about AI conversations, this article will show you the top choices in the world of Natural Language Processing (NLP). Users can ask or prompt ChatGPT, and the model responds in accordance with its comprehension of the context and linguistic patterns available in the data it was trained on.

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AssemblyAI

FEBRUARY 1, 2024

Generate tags, titles, and descriptions from your audio data.  With LeMUR, you can send any prompt to the LLM and easily apply the model to your transcribed audio files.  Our LeMUR guides will show you how to: Summarize your audio data with key takeaways.    Get answers to questions about your audio.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

Amazon Lex provides your Amazon Connect contact center with chatbot functionalities such as automatic speech recognition (ASR) and natural language understanding (NLU) capabilities through voice and text channels. The following prompt template was tested on text generation models Anthropic Claude Instant v1.2 and Anthropic Claude v2.

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AssemblyAI

FEBRUARY 28, 2024

  This article examines how Speech AI models can serve as foundational building blocks for these advanced AI video editing tools and platforms. Before we jump into Speech AI models, let’s first look more closely at what AI video editing is. What is AI video editing? What is AI video editing?

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Heartbeat

FEBRUARY 9, 2023

Photo by Brooks Leibee on Unsplash Introduction Natural language processing (NLP) is the field that gives computers the ability to recognize human languages, and it connects humans with computers. SpaCy is a free, open-source library written in Python for advanced Natural Language Processing. Comet is now integrated with SpaCy!

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FlowingData

JANUARY 20, 2023

It could also help scrub toxic text from the training datasets of future AI models. Tags: AI , cleaning , ethics , OpenAI , Sama The premise was simple: feed an AI with labeled examples of violence, hate speech, and sexual abuse, and that tool could learn to detect those forms of toxicity in the wild.

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AssemblyAI

SEPTEMBER 29, 2023

Discover how you can use Automatic Speech Recognition and AI models to build tools that increase efficiency within the following areas: 1. AI models can also be used to identify speakers and key phrases , allowing users to search for specific words, numbers, and phrases within transcripts. Content management 2.

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ODSC - Open Data Science

APRIL 28, 2023

If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. Introduction to SpaCy SpaCy is a python library designed to provide a “complete” NLP pipeline, including ingestion, tokenization, tagging, representation, and even classification. It’s all about context!

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