Snorkel AI

JANUARY 30, 2024

My talk focussed on the importance of understanding the larger ecosystem in which large language models (LLMs) exist and how fine-tuning all system components with expert feedback can improve application performance. LLM application ecosystems LLMs don’t exist in a vacuum. During this free 3-hour virtual summit on Jan.

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Snorkel AI

OCTOBER 23, 2023

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.

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AssemblyAI

FEBRUARY 28, 2024

  Large Language Models (LLMs) : Large Language Models, or LLMs, are another powerful analysis tool for voice data. In addition to adding captions, video editing platforms can provide AI-powered tools that allow users to: Auto-tag video content with relevant tags. LLMs are useful here as well.

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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. Yet, LLMs are at a disadvantage when it comes to tasks that it requires visual reasoning. inside the prompt to feed to the LLM.

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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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AssemblyAI

SEPTEMBER 27, 2023

Large Language Models (LLMs): Large Language Models, or LLMs, help users build high-quality Generative AI features on top of voice data. Frameworks for Large Language Models (LLMs): Frameworks for LLMs let users build these tools and features faster by offering access to LLMs in an easier-to-use package.

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Data Science Dojo

JUNE 26, 2023

Artificial intelligence systems that are capable of understanding and generating human language are known as large Language Models (LLMs). An LLM is generally able to predict what words will follow words already typed. One of the most widely known LLMs today is ChatGPT, which was developed by OpenAI.

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Women in Big Data

DECEMBER 13, 2023

We are hearing about NLP, LLMs, ChatGPT and Generative AI a lot ! The goal of the talk was to learn about the basics of NLP (Natural Language Processing), how NLP is done, what is LLM (Large Language Model), Generative AI and how you can drive your career around it. Image Credit: Neebal Technologies LLMs are not free from challenges.

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Snorkel AI

FEBRUARY 13, 2024

LLMs’ flexibility dazzles, but most AI problems don’t require flexibility. LLMs, while amazing, tend to be slow and expensive. What is LLM distillation? LLM distillation is when data scientists use LLMs to train smaller models. Why would you use LLM distillation? What are the drawbacks of LLM distillation?

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Snorkel AI

FEBRUARY 13, 2024

LLMs’ flexibility dazzles, but most AI problems don’t require flexibility. LLMs, while amazing, tend to be slow and expensive. What is LLM distillation? LLM distillation is when data scientists use LLMs to train smaller models. Why would you use LLM distillation? What are the drawbacks of LLM distillation?

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ODSC - Open Data Science

JANUARY 29, 2024

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. This skill focuses on minimizing the resources and time required for an LLM to generate output based on your prompts.

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AWS Machine Learning Blog

DECEMBER 12, 2023

Large language models Generative AI chatbots such as ChatGPT are powered by large language models (LLMs), which are based on a deep learning neural network that can be trained on large quantities of unlabeled text. On the Set description tag page, choose Create access key. On the Security Credentials tab, choose Create access key.

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Snorkel AI

JANUARY 9, 2024

Additionally, we’ve expanded our sequence tagging support from 10 to 25 classes, broadening the scope and capabilities of our platform to meet your complex needs. Register for the next Enterprise LLM Virtual Summit! LLMs are rapidly transforming the enterprise and have the potential to revolutionize the way we work.

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Snorkel AI

JANUARY 9, 2024

Additionally, we’ve expanded our sequence tagging support from 10 to 25 classes, broadening the scope and capabilities of our platform to meet your complex needs. Register for the next Enterprise LLM Virtual Summit! LLMs are rapidly transforming the enterprise and have the potential to revolutionize the way we work.

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Snorkel AI

APRIL 24, 2024

Understanding the document intelligence workflow Snorkel Flow’s approach to document intelligence applications leverages the power of FMs— in this case large language models (LLMs), such as OpenAI’s GPT-4. Our demonstration began with a simple prompt: “Extract the interest rate swap notional amounts.”

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Snorkel AI

APRIL 24, 2024

Understanding the document intelligence workflow Snorkel Flow’s approach to document intelligence applications leverages the power of FMs— in this case large language models (LLMs), such as OpenAI’s GPT-4. Our demonstration began with a simple prompt: “Extract the interest rate swap notional amounts.”

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AssemblyAI

SEPTEMBER 29, 2023

By using Audio Intelligence, LLMs and frameworks, companies can build on top of ASR to create tools that categorize content, increase searchability, aid in podcast or video editing, and intelligently synthesize this information. And that’s just a glimpse of what’s possible.

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DagsHub

AUGUST 19, 2023

The rapid development of Large Language Models (LLMs) like Chat GPT , LLAMA 2 , and Falcon has revolutionized the Data Science world and introduced a new concept: ״Prompt Engineering״ Prompting involves using input text or questions to guide LLMs in generating desired outputs (e.g., text, image, video, etc.).

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Snorkel AI

AUGUST 9, 2023

Large Language Models ( LLMs ) have grown increasingly capable in recent years across a wide variety of tasks. In this blog post, we walk through an anonymized real-world use case comparing a variety of state-of-the-art LLMs (GPT 4, GPT 3.5, Built-in tools for EDA (filtering, sorting, clustering, tagging, etc.) zero-shot, 58.9

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Snorkel AI

AUGUST 9, 2023

Large Language Models ( LLMs ) have grown increasingly capable in recent years across a wide variety of tasks. In this blog post, we walk through an anonymized real-world use case comparing a variety of state-of-the-art LLMs (GPT 4, GPT 3.5, Built-in tools for EDA (filtering, sorting, clustering, tagging, etc.) zero-shot, 58.9

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Snorkel AI

SEPTEMBER 29, 2023

Data labeling remains a core requirement for any organization looking to use machine learning to solve tangible business problems, especially with the increased development and adoption of LLMs. LLMs embody a wealth of useful information in their pre-trained weights, but they typically fall short of a full solution out of the box.

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AWS Machine Learning Blog

MARCH 6, 2024

This includes large language models (LLMs) pretrained on huge datasets, which can then be adapted for specific tasks, like text summarization or chatbots. Both LLMs and pLMs have grown by orders of magnitude in the past few years, as illustrated in the following figure. One challenge with these models is their size.

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Mlearning.ai

APRIL 21, 2023

Even though traditional datasets are always in the form of a series of documents of either text files or word files, The problem with it is we can not feed it directly to LLM models as it requires data in a specific format. SQuAD is one of the formats that work well with many LLMs.

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Iguazio

FEBRUARY 20, 2024

This blog post will discuss: The potential impact of generative AI for financial services The challenges of deploying LLMs in production Which engineering and risk-related considerations financial services companies need to take to successfully implement gen AI in their business environments. This helps address risks and improve data quality.

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AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. We then demonstrate how to use LangChain for tying everything together: Interfacing with LLMs hosted on Amazon SageMaker.

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AWS Machine Learning Blog

APRIL 24, 2024

First think through your answer inside of tags, then assign a score between 0.0 Answer the score inside of tags. Also provide the reason to give this score inside of tags. In this use case, we used SageMaker JumpStart to test multiple LLMs and experiment with multiple LLM training approaches.

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Heartbeat

JANUARY 19, 2024

In this article you will learn how to log the YOLOPandas prompts with comet-llm, keep track of the number of tokens used in USD($), and log your metadata. This is a helpful guide if you want to learn more about LLMs and understand how to use the new comet-llm tool. Set yolo=True and assign it to a variable.

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Mlearning.ai

FEBRUARY 26, 2024

Also remove noise data, this includes removing special characters, stop words (common words like “the” and “a”), and HTML tags. Adding Metadata Adding metadata, such as concept and level tags, to improve the quality of indexed data. Identify and correct errors: This includes spelling mistakes, typos, and grammatical errors.

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Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). With Snorkel Flow, enterprises can use their expert knowledge, organizational resources, and FM/LLMs as supervision sources to programmatically label large amounts of high-quality training data to train models or fine-tune FM/LLMs.

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Heartbeat

NOVEMBER 22, 2023

Mastering Pairwise Assessments for Optimized Language Model Outputs Photo by Dietmar Becker on Unsplash Introduction In LangChain, comparison evaluators are designed to measure and compare outputs from two different chains or LLMs. Want to learn how to build modern software with LLMs using the newest tools and techniques in the field?

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Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). With Snorkel Flow, enterprises can use their expert knowledge, organizational resources, and FM/LLMs as supervision sources to programmatically label large amounts of high-quality training data to train models or fine-tune FM/LLMs.

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Snorkel AI

JULY 19, 2023

We used weak supervision to programmatically curate instruction tuning data for open-source LLMs. Instruction tuning (fine-tuning on high-quality responses to instructions) has emerged as an important step in developing performant large language models (LLMs) for generative AI tasks. Background: what is RedPajama?

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Snorkel AI

JULY 19, 2023

We used weak supervision to programmatically curate instruction tuning data for open-source LLMs. Instruction tuning (fine-tuning on high-quality responses to instructions) has emerged as an important step in developing performant large language models (LLMs) for generative AI tasks. Background: what is RedPajama?

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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. The audio moderation workflow activates the LLM’s policy evaluation only when the toxicity analysis exceeds a set threshold.

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Data Science Dojo

AUGUST 8, 2023

Familiarize yourself with key concepts like tokenization, part-of-speech tagging, named entity recognition, and syntactic parsing. These form the foundation for working with conversational AI systems like ChatGPT. Master Python Python is the primary language for NLP and AI tasks.

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