Marktechpost

AUGUST 3, 2023

The captions generated are textual descriptions of sentences, distinguishing the task from other music semantic understanding tasks such as music tagging. First, they proposed an LLM-based approach to generate a music captioning dataset, LP-MusicCaps. These models generally use an encoder-decoder framework. captions paired with 0.5M

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

Topbots

JULY 24, 2023

The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications. Contrary to popular belief, brevity isn’t synonymous with specificity in LLM prompts. Let’s explore some tactics to guide an LLM towards step-by-step thinking and problem solving.

Prompt Engineer 98

Prompt Engineer Prompt Engineering LLM ChatGPT 98

Flipboard

JUNE 10, 2023

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. …

Natural Language Processing 112

Natural Language Processing Large Language Models AI Researcher AI Research 112

Marktechpost

MAY 17, 2024

Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Current methods rely on automated speech recognition (ASR) followed by LLM processing, missing non-textual cues.

Large Language Models 113

Large Language Models LLM AI AI 113

Unite.AI

MAY 8, 2024

However, some key limitations of traditional GNN-based self-supervised methods remain, which we will explore leveraging LLMs to address next. Beyond better text encoders, LLMs can be used to generate augmented information from the original text attributes in a semi-supervised manner.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

Unite.AI

OCTOBER 19, 2023

GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones. The Architecture: LLM and Its Vulnerabilities LLMs, especially those like GPT-4, are built on a Transformer architecture.

Prompt Engineer 277

Prompt Engineer Prompt Engineering Large Language Models LLM 277

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

John Snow Labs

JULY 19, 2023

Exploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding by June 2023. billion in funding by June 2023.

LLM 98

LLM OpenAI Large Language Models NLP 98

Marktechpost

NOVEMBER 18, 2023

Tarsier acts as a bridge, which enhances the capabilities of these models by visually tagging interactable elements on a web page and enabling interaction between users and machines. Tarsier simplifies the intricate process of web interaction for LLMs.

Python 106

Python LLM AI AI 106

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. Let's convert our raw data into SQuAD format.

LLM 52

LLM Large Language Models Natural Language Processing Computer Vision 52

AssemblyAI

SEPTEMBER 29, 2023

Content management: organize and prioritize After a video or audio file is transcribed using Automatic Speech Recognition, companies can apply additional AI models to the transcription text that can categorize and tag content. This allows CallRail’s customers to more easily identify high-priority calls and common customer challenges.

Categorization 264

Categorization Auto-complete AI Modeling LLM 264

AWS Machine Learning Blog

MAY 30, 2024

Policy evaluation – Using the extracted metadata from the video, the system conducts LLM evaluation. This allows you to take advantage of the flexibility of LLMs to evaluate video against dynamic policies. It offers details of the extracted video information and includes a lightweight analytics UI for dynamic LLM analysis.

Generative AI 106

Generative AI Metadata AI AI 106

Chatbots Life

MAY 27, 2024

In a conversational AI-enabled voice bot, in case of obtaining data from a database or requesting information from LLM models like ChatGPT, Claude, Gemini, or LLaMA, there’s inevitably a delay while waiting for updates or responses, often leading to an awkward pause in the interaction. Most importantly, enable ‘Return partial response’.

Chatbots 59

Chatbots Conversational AI LLM ChatGPT 59

Bitext

OCTOBER 3, 2023

To achieve this consistency in an LLM base application, like a chatbot, a training dataset with hundreds of variations of these type of questions can help with the task. A few example answers to be fed to the LLM Optionally, some tagging about what’s the linguistic rational behind each variant: colloquial vs formal language, etc.

LLM 52

LLM Chatbots AI AI 52

Unite.AI

AUGUST 1, 2023

This problem is apparent in instances of knowledge conflict, where the context contains facts differing from the LLM's pre-existing knowledge. Consider an instance where a Large Language Model (LLM), primed with data before the 2022 World Cup, is given a context indicating that France won the tournament.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Unite.AI

OCTOBER 16, 2023

This is where LLMOps steps in, embodying a set of best practices, tools, and processes to ensure the reliable, secure, and efficient operation of LLMs. Custom LLM Training : Developing a LLM from scratch promises an unparalleled accuracy tailored to the task at hand.

Large Language Models 189

Large Language Models LLM Machine Learning DevOps 189

AssemblyAI

FEBRUARY 1, 2024

Generate tags, titles, and descriptions from your audio data. Try  LeMUR  and get answers to any questions about your audio with LLMs.  With  With LeMUR, you can send any prompt to the LLM and easily apply the model to your transcribed audio files.    Get answers to questions about your audio.

Large Language Models 173

Large Language Models Python Generative AI LLM 173

AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. The audio moderation workflow activates the LLM’s policy evaluation only when the toxicity analysis exceeds a set threshold. You will find the chat message in tag, and find the policy in the tag.

LLM 101

LLM Natural Language Processing Prompt Engineer Prompt Engineering 101

Pragnakalp

APRIL 17, 2024

In a conversational AI-enabled voice bot, in case of obtaining data from a database or requesting information from LLM models like ChatGPT, Claude, Gemini, or LLaMA, there’s inevitably a delay while waiting for updates or responses, often leading to an awkward pause in the interaction. Most importantly, enable ‘Return partial response’.

NLP 59

NLP Chatbots Conversational AI LLM 59

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.

Large Language Models 147

Large Language Models AI AI AI Modeling 147

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). Before creating the questions - Analyze the book found between tags, to identify distinct chapters, sections, or themes for question generation. -

Prompt Engineer 109

Prompt Engineer Prompt Engineering Generative AI Python 109

Artificial Corner

AUGUST 29, 2023

We send the topic of the post and we will receive back a creative tweet with all the fancy tags. Now, we have to tell Beam to create an API endpoint (which is your access door to the serverless LLM). This means that we have somehow to send our “prompt” to the Orca-mini-3B model so that our LLM can generate the Tweet for us.

LLM 82

LLM Python Large Language Models Auto-complete 82

Bitext

SEPTEMBER 22, 2023

Businesses are investing heavily in creating LLM-based applications, with GPT, LLaMa, MPT, Falcon, etc. This makes it particularly suitable for high-quality LLM fine tuning. The corpus includes tagging for offensive language generated from human-curated dictionaries. Definitely, we have a problem.

LLM 52

LLM NLP Chatbots AI 52

Heartbeat

FEBRUARY 29, 2024

Besides BeautifulSoup, Scrapy, and Selenium , have you considered web scraping using LLM ? A set of tags is used to structure content on the Internet. Tags are like containers that wrap various elements, defining their structure and appearance on a web page. HTML Tags Tags are the heart of HTML.

LLM 52

LLM Data Extraction Metadata Python 52

Unite.AI

MAY 10, 2024

Ambient IoT: The Language of Supply Chains With ambient IoT, products, packaging, and places carry digital signatures, which are the supply chain’s real-time visibility language, eventually feeding into the large language models (LLMs) that are the basis of GenAI.

ESG 262

ESG Chatbots Artificial Intelligence Artificial Intelligence 262

Flipboard

DECEMBER 6, 2023

The following are some of the experiments that were conducted by the team, along with the challenges identified and lessons learned: Pre-training – Q4 understood the complexity and challenges that come with pre-training an LLM using its own dataset. In addition to the effort involved, it would be cost prohibitive.

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

AWS Machine Learning Blog

MAY 21, 2024

However, when the article is complete, supporting information and metadata must be defined, such as an article summary, categories, tags, and related articles. This includes recommendations for appropriate categories, tags, and even in-text links. Storm CMS also gives journalists suggestions for article metadata. Why Amazon Bedrock?

Generative AI 102

Generative AI Automation Prompt Engineer Prompt Engineering 102

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. api_instance: An instance of the API (e.g.,

LLM 52

LLM OpenAI Deep Learning Large Language Models 52

Marktechpost

SEPTEMBER 6, 2023

Second, their reasoning must be more robust because they employ a smaller language model than state-of-the-art Large Language Models (LLMs). Finally, unlike image search engines, they do not examine the query image against a large corpus of images tagged with different metadata.

Large Language Models 134

Large Language Models LLM Metadata AI 134

Flipboard

FEBRUARY 16, 2023

Alternatively, you can use the following command to see the status of your request: pcluster describe-cluster -n and the command will indicate the status, for example: { "creationTime": "2023-01-09T03:26:17.235Z", "headNode": { "launchTime": "2023-01-09T03:29:23.000Z", "instanceId": "XXXXX", "publicIpAddress": "XX.XX.XXX.XXX", "instanceType": "c5.4xlarge", (..)

Large Language Models 106

Large Language Models LLM BERT Deep Learning 106

Snorkel AI

JANUARY 30, 2024

I recently discussed some of my work on generative AI (GenAI) applications in a talk called “Data Development for GenAI: A Systems Level View” at Snorkel AI’s Enterprise LLM Summit. LLM application ecosystems LLMs don’t exist in a vacuum. See what you missed at Snorkel's Enterprise LLM Virtual Summit!

LLM 52

LLM Large Language Models AI AI 52

Snorkel AI

JANUARY 30, 2024

I recently discussed some of my work on generative AI (GenAI) applications in a talk called “Data Development for GenAI: A Systems Level View” at Snorkel AI’s Enterprise LLM Summit. LLM application ecosystems LLMs don’t exist in a vacuum. See what you missed at Snorkel's Enterprise LLM Virtual Summit!

LLM 52

LLM Large Language Models AI AI 52

Marktechpost

JULY 1, 2023

An optical encoder may be trained to represent each picture as a series of continuous embeddings, allowing the LLM to understand it. Another uses a contrastively trained frozen vision encoder while adding additional layers to the frozen LLM that are then learned from scratch.

Large Language Models 91

Large Language Models Computer Vision LLM Natural Language Processing 91

Towards AI

APRIL 19, 2024

Nevertheless, we will run into several problems as soon as we try to have an LLM carry out our data analysis tasks. In that case, we will have an even harder time than before with an LLM. That’s why we should pay attention to the task at hand before we ground the LLM via RAG. This 66 MB corpus contains 50K documents or ~13.9M

Data Analysis 88

Data Analysis LLM Big Data NLP 88