Heartbeat

DECEMBER 7, 2023

Smart Chunking Techniques for Enhanced RAG Pipeline Performance Generated by the author using SDXL A huge pain point for Retrieval Augmented Generation is the challenge of making the text in large documents, especially PDFs, available for LLMs due to the limitations of the LLM context window.

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Women in Big Data

DECEMBER 13, 2023

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps computers understand, interpret and manipulate human language.

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AssemblyAI

DECEMBER 18, 2023

A learning management system (LMS) is an online platform that stores, manages, and delivers educational content. However, an LMS is more than a basic interface for educational content. Speech AI is a subfield of Artificial Intelligence that uses Machine and Deep Learning to understand, analyze, and communicate using human language.

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Dataconomy

SEPTEMBER 22, 2023

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. This system provides long-term storage at a lower cost than primary storage systems.

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Dataconomy

MAY 30, 2023

AI technologies are often ‘trained’ on very large datasets, allowing them to generalise their operations to other fields – this is known as a ‘foundation’ model. Data management As we have said, training AI requires a large amount of data to build a foundational model. AI in Practice: Yepic.AI

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Snorkel AI

JANUARY 30, 2024

While large language models form the core of these applications, they exist as part of an ecosystem that connects numerous components, each of which plays a vital role in the end-users experience. Then, the model itself ingests the prompt and yields a response, but the process isn’t over.

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Snorkel AI

JANUARY 30, 2024

While large language models form the core of these applications, they exist as part of an ecosystem that connects numerous components, each of which plays a vital role in the end-users experience. Then, the model itself ingests the prompt and yields a response, but the process isn’t over.

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Pickl AI

MARCH 27, 2023

Well, it’s Natural Language Processing which equips the machines to work like a human. But there is much more to NLP, and in this blog, we are going to dig deeper into the key aspects of NLP, the benefits of NLP and Natural Language Processing examples. It includes methods like sentiment analysis, part-of-speech tags and others.

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Mlearning.ai

FEBRUARY 26, 2024

The majority of these techniques will be based on a research paper I particularly enjoyed, titled “ Retrieval-Augmented Generation for Large Language Models: A Survey.” Post-Retrieval Next, the RAG model augments the user input (or prompts) by adding the relevant retrieved data in context (query + context).

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Snorkel AI

APRIL 24, 2024

Foundation models have become the new baseline for tackling problems in enterprise AI development. However, foundation models (FMs) rarely achieve the performance enterprises need for production deployment. Users can then iteratively address the FM’s gaps until they build a production-grade model.

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Snorkel AI

APRIL 24, 2024

Foundation models have become the new baseline for tackling problems in enterprise AI development. However, foundation models (FMs) rarely achieve the performance enterprises need for production deployment. Users can then iteratively address the FM’s gaps until they build a production-grade model.

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AssemblyAI

OCTOBER 2, 2023

Share any innovations you're working on to Discord or tag us on Twitter or LinkedIn ! Chris built VideoTap , an AI-tool for creators to re-purpose existing content using AssemblyAI's Speech API. Read more>> Our Trending YouTube Tutorials Is it really the best 7B model? (A Deploy FALCON-180B Instantly!

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Towards AI

AUGUST 9, 2023

An introduction to the core ideas and approaches to move from unimodality to multimodal LLMs LLMs have shown promising results on both zero-shot and few-shot learning on many natural language tasks. Meanwhile, large vision models, like SAM, achieved the same level of progress in perception as LLMs in textual reasoning.

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AWS Machine Learning Blog

AUGUST 2, 2023

Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra is an intelligent search service powered by machine learning (ML).

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AWS Machine Learning Blog

DECEMBER 12, 2023

This post shows you how you can create a web UI, which we call Chat Studio, to start a conversation and interact with foundation models available in Amazon SageMaker JumpStart such as Llama 2, Stable Diffusion, and other models available on Amazon SageMaker. We cover the following steps: Deploy SageMaker foundation models.

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Pickl AI

AUGUST 1, 2023

Text mining is also known as text analytics or Natural Language Processing (NLP). With the increasing availability of digital information, text mining has gained immense importance in understanding and extracting knowledge from vast amounts of textual content. Thus it helps in improving their products and services.

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Flipboard

JUNE 9, 2023

AI is assisting virtually every aspect of business, from advertising to content creation to customer service to virus detection. It’s compatible with WPML, so you can easily translate any custom AI content you create. More than 235 voices in 40+ languages and variants are used to turn written text into human-sounding speech.

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Snorkel AI

SEPTEMBER 29, 2023

Data labeling in the age of large language models (LLMs) The recent explosion of large language models (LLMs) and generative AI (genAI) has made data labeling more necessary than ever. Labeled data teaches models how to understand inputs and enables them to make useful predictions.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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ODSC - Open Data Science

JANUARY 29, 2024

Think of them as architects of language-driven AI. They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

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IBM Journey to AI blog

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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Mlearning.ai

JULY 23, 2023

Bae’s theorem Have you ever wondered how Twitter, Facebook, or Instagram can detect if you’ve posted something that appears to be offensive content? Do you think someone in these companies has been spying on you, or perhaps they have employees assigned to monitor all the content within their systems? So, how do they do that?

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IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. noun, verb, adjective, etc.),

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Iguazio

FEBRUARY 20, 2024

For example, applications range from creating engaging customer content to profiling wealth prospects to drafting financial reports to fraud monitoring to generating job profiles. Content generation - Creation of contracts, NDAs, etc. This is essential for ensuring high quality outputs, which lead to high quality models.

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Heartbeat

NOVEMBER 22, 2023

Table of Contents Introduction I. Use delimiters such as triple quotes (“‘xxx’”), triple backticks (```), triple dashes ( — -), angle brackets (< >), and XML tags. These act as navigational aids, precisely guiding the model through the various components of the message. Turbo model for natural language processing.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle. ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle.

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Becoming Human

MAY 12, 2023

In what ways do we understand image annotations, the underlying technology behind AI and machine learning (ML), and its importance in developing accurate and adequate AI training data for machine learning models? Overall, it shows the more data you have, the better your AI and machine learning models are.

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AWS Machine Learning Blog

MAY 5, 2023

Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. FiftyOne by Voxel51 is an open-source toolkit for curating, visualizing, and evaluating computer vision datasets so that you can train and analyze better models by accelerating your use cases.

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AssemblyAI

AUGUST 14, 2023

Before this spoken data can be input into a Generative AI model, however, it must first be translated from speech into text. AssemblyAI’s Conformer-2 AI model for automatic speech recognition, for example, is trained on 1.1M explains how AssemblyAI’s Conformer-2 model will make Vidyo.AI Conformer-2 showed a 6.8%

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DrivenData Labs

JANUARY 22, 2024

This guest blog post from our partners at Veratai contains code for training the benchmark entity linking model for the SNOMED CT Entity Linking Challenge. In this post, we build a straightforward entity linking model and prepare it for submission. You can find the code and instructions for reproducing this notebook in this repository.

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Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques. DM Architecture. DBOW Architecture.

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AWS Machine Learning Blog

MAY 5, 2023

However, generic search queries would span a wide range of services and across different content creation dates. Users would need to manually select suitable architectural candidates based on specific services and consider the relevance of the architecture design choices according to the content creation date and query date.

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AWS Machine Learning Blog

JULY 25, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is all backed by very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Set up Amazon SageMaker Studio using the VPC we created.

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Explosion

JANUARY 29, 2023

The release includes an experimental English coref pipeline and a sample project that shows how to train a coref model for spaCy. Finally, Edi recorded a video on our coref component showing how to train a coreference resolution model with spaCy projects and then applies the trained pipeline to resolve references in a text.

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AssemblyAI

DECEMBER 7, 2023

Researchers from Alibaba Group have introduced Qwen-Audio , a groundbreaking large-scale audio-language model that elevates the way AI systems process and reason about a diverse spectrum of audio signals. Performance of Qwen-Audio versus previous top-tiers from multi-task audio-text learning models across 12 audio datasets.

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Explosion

NOVEMBER 4, 2021

of the spaCy Natural Language Processing library. Bloom embeddings are already used by HashEmbed in tok2vec for compact spaCy models. For agglutinative languages like Finnish or Korean, there are large improvements in performance due to the use of subwords (no OOV words!) We’re pleased to present v3.2

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Pickl AI

APRIL 25, 2023

Machine Learning is one of the biggest branches of Artificial Intelligence, which focuses on enabling computers to learn from large datasets without requiring explicit programming. Training the network requires a large amount of data which enables strengthening the connection between the layers. What is Machine Learning? What is NLP?

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