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 173

Neural Network Large Language Models LLM BERT 173

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 123

Python LLM AI AI 123

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 96

Large Language Models LLM AI AI 96

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

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

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

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

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

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 98

LLM Python Large Language Models Auto-complete 98

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

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

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

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 137

Large Language Models LLM Metadata AI 137

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 98

Large Language Models Computer Vision LLM Natural Language Processing 98

Marktechpost

DECEMBER 31, 2023

Accessories like garments, glasses, eyelashes, and irises are sourced from a tagged 3D asset library, and their semantic attributes are extracted, followed by the assembly of these elements to create a comprehensive 3D figure. Stable Diffusion Model, LLM, and ControlNet enable the generation of detailed facial attributes.

Machine Learning 118

Machine Learning LLM AI AI 118

Unite.AI

DECEMBER 18, 2023

As the CTO & Cofounder of a conversational intelligence company, Pathlight, you are helping build an LLM Ops infrastructure from scratch. In navigating this intricate process, we meticulously transcribe, purify, and optimize the data to be ideally suited for LLM processing.

LLM 130

LLM Data Analysis Prompt Engineer Prompt Engineering 130

Towards AI

DECEMBER 28, 2023

Deep learning fundamentals(with or without maths)– Major topics to focus on from LLM point of view are MP Neuron, perceptron, Sigmoid neuron, FFNN, Backpropagation, various types of Gradient descent, Activation functions, Representation of words like word2vec, RNN, GRU, LSTM. Expand your skillset by… courses.analyticsvidhya.com 2.

Large Language Models 110

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 110

Marktechpost

DECEMBER 31, 2023

Two methods have been used to gather hallucinations which include using sampling replies produced by an LLM conditioned on inputs and introducing inconsistencies into reference inputs or outputs by editing. The transformer’s internal representations emphasize extrinsic hallucinations- i.e., those connected to the outside world more.

AI Researcher 135

AI Researcher AI Research Large Language Models Natural Language Processing 135

Marktechpost

NOVEMBER 10, 2023

Mixing non-personalized labels with personalized labels generally had a detrimental impact, emphasizing the higher quality of customized tags. The approach represents a promising advancement in distilling closed-source LLM capabilities into open-source models. Check out the Paper.

Large Language Models 91

Large Language Models LLM Data Quality AI 91

Bitext

SEPTEMBER 27, 2023

A notable aspect of this dataset is the “Language Generation Tags.” ” These tags are essential when training Large Language Models like GPT, Llama2, and Falcon, suitable for both Fine Tuning and Domain Adaptation processes. In terms of data volume, the dataset comprises a total of 3.57

Large Language Models 52

Large Language Models Conversational AI LLM Chatbots 52

Mlearning.ai

FEBRUARY 26, 2024

This process creates a knowledge library that the LLM can understand. This step uses prompt engineering techniques to communicate effectively with the LLM. Remove irrelevant text/document: Eliminated all the irrelevant documents that we don’t need LLM to answer.

Metadata 52

Metadata Large Language Models LLM Neural Network 52

Marktechpost

SEPTEMBER 15, 2023

From the perspective of the interpretability of the model, studies have shown that the earlier layers of transformer LMs encode “lower level” information (such as part-of-speech tags). In contrast, the later levels encode more “semantic” information.

Large Language Models 130

Large Language Models Natural Language Processing NLP AI 130

Marktechpost

AUGUST 10, 2023

The model consists of two key components: a location-aware image tokenizer and an LLM-based decoder. The dataset comprises over 1 billion region annotations in various formats, such as semantic tags, locations, question-answering pairs, and captions. The All-Seeing model (ASM) is a unified location-aware image-text foundation model.

Auto-classification 98

Auto-classification Natural Language Processing Large Language Models LLM 98

Towards AI

AUGUST 9, 2023

Similarly, MM-ReAct [2] incorporates visual information in the forms of image captioning, dense captioning, image tagging, etc., inside the prompt to feed to the LLM. Multimodal Zero-shot learning using Instruction Tuning Fine-tuned LLMs showcase limited performance on unseen tasks, especially under distribution shifts.

Explainability 93

Explainability LLM ChatGPT Large Language Models 93

Mlearning.ai

MAY 5, 2023

To learn and work with large language models (LLMs), there are several things that you should know: Understanding of Natural Language Processing (NLP) : LLMs are designed to process and generate natural language text, so it’s essential to have a good understanding of NLP concepts and techniques. Let’s create a community!

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

John Snow Labs

AUGUST 7, 2023

The “Temperature” parameter governs the “creativity” or randomness of the LLM-generated text. Editing, Tagging, and Exporting The NLP Lab integration delivers the generated texts in a dedicated UI that allows users to review, edit, and tag them in place. Higher temperature values (e.g.,

NLP 52

NLP ChatGPT Data Scientist Natural Language Processing 52

AWS Machine Learning Blog

DECEMBER 12, 2023

On the Set description tag page, choose Create access key. Navigate to the GitHub repository and download the react-llm-chat-studio code. Open your IDE, launch the react-llm-chat-studio code, and navigate to src/configs/models.json. Navigate to the react-llm-chat-studio code folder you created earlier. Choose Done.

LLM 102

LLM Large Language Models Generative AI Neural Network 102

AWS Machine Learning Blog

MAY 25, 2023

In the RAG-based approach we convert the user question into vector embeddings using an LLM and then do a similarity search for these embeddings in a pre-populated vector database holding the embeddings for the enterprise knowledge corpus. Select the notebook aws-llm-apps-blog and choose Open JupyterLab.

LLM 77

LLM Data Ingestion Python ML 77

IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

Neural Network 242

Neural Network LLM AI AI 242

Heartbeat

NOVEMBER 22, 2023

Comparison evaluators in LangChain help measure two different chains or LLM outputs. Pairwise string comparison Often, you will want to compare predictions of an LLM, Chain, or Agent for a given input. tags : (Optional) List of tags to associate with the evaluation. prediction_b : The output string from the second model.

LLM 52

LLM Explainability Metadata Deep Learning 52