Heartbeat

SEPTEMBER 19, 2023

I’m so excited to talk to you about Language Models! They’re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. Prompt Usage Tracker: Working and iterating on Large Language models may require us to use paid APIs.

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Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

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Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

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Large Language Models BERT Neural Network LLM 52

AssemblyAI

DECEMBER 7, 2023

Overview of This Research Universal Audio Understanding is the capacity of an AI system to interpret and make sense of various audio inputs, akin to how humans discern and understand different sounds and spoken language. Text Language Tag : This tag specifies the language required for the text output.

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Marktechpost

JULY 12, 2023

ProGen was trained on 280M protein sequences from more than 19,000 families, and the model is augmented with control tags specifying the property of the protein. ProGen can be fine-tuned to create more accurate protein sequences using specific sequences and tags.

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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. …

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Natural Language Processing Large Language Models AI Researcher AI Research 112

Unite.AI

OCTOBER 3, 2023

Large Language Models (LLMs) have recently taken center stage, thanks to standout performers like ChatGPT. When Meta introduced their Llama models, it sparked a renewed interest in open-source LLMs. This model can be easily downloaded by anyone from GitHub and even via a 13.4-gigabyte gigabyte torrent.

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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. Models like T5 and SpeechNet employ this approach for text and speech tasks, achieving significant results.

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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", (..)

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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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Large Language Models Python Generative AI LLM 173

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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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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Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. These include few-shot learning, ReAct, chain-of-thought, RAG, and more.

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Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Unite.AI

OCTOBER 19, 2023

Large Language Models can craft poetry, answer queries, and even write code. Prompt Injection Attacks on Large Language Models Prompt injection attacks have emerged as a pressing concern in the cybersecurity world, particularly with the rise of Large Language Models (LLMs) like ChatGPT.

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AssemblyAI

FEBRUARY 28, 2024

  Audio Intelligence : Audio Intelligence models help users analyze these transcriptions and build high-ROI tools on top of the transcription data. Audio Intelligence models include Summarization, Topic Detection, Sentiment Analysis, PII Redaction, and more. 

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Flipboard

JUNE 11, 2023

We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. ChatGPT appears authoritative. It even warns about the vulnerability of the default CBC encryption mode to certain kinds of attacks.

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AssemblyAI

SEPTEMBER 27, 2023

Audio Intelligence models can include Summarization, Content Moderation, Sentiment Analysis, Entity Detection, PII Redaction, and more. Large Language Models (LLMs): Large Language Models, or LLMs, help users build high-quality Generative AI features on top of voice data.

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Large Language Models AI AI AI Modeling 130

Marktechpost

SEPTEMBER 6, 2023

GPT3, LaMDA, PALM, BLOOM, and LLaMA are just a few examples of large language models (LLMs) that have demonstrated their ability to store and apply vast amounts of information. Second, their reasoning must be more robust because they employ a smaller language model than state-of-the-art Large Language Models (LLMs).

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Marktechpost

AUGUST 19, 2023

Have you ever considered how large language models like ChatGPT would obtain the instruction-following ability? Various foundation language models obtain it through supervised fine-tuning ( SFT ). They claim that model ability grows with more complex and diverse data. average score on the MIT-Bench.

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Chatbots ChatGPT Large Language Models Explainability 79

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.

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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.

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Towards AI

DECEMBER 28, 2023

Here are 11 pillars for building expertise in GenAI: Basics of Python- Python serves as a prominent programming language for working with large language models (LLMs) due to its versatility, extensive libraries, and community support. Mitesh Khapra courses.ai4bharat.org 4. Mitesh Khapra courses.ai4bharat.org 7.

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Marktechpost

MAY 28, 2024

DAGER outperforms previous attacks in speed, scalability, and reconstruction quality, recovering batches up to size 128 on large language models like GPT-2, LLaMa-2, and BERT. DAGER achieved near-perfect sequence reconstructions, significantly surpassing baselines in decoder- and encoder-based models.

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Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. The team has summarized their primary contributions as follows.

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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). In this post, we explore how to build an application that generates tests tailored to your own lecture content.

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Prompt Engineer Prompt Engineering Generative AI Python 109

Marktechpost

SEPTEMBER 15, 2023

Numerous natural language processing (NLP) applications have benefited greatly from using large language models (LLMs). 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).

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Marktechpost

APRIL 4, 2024

It includes database context such as table and view create statements, natural language explanations of the SQL queries, and contextual tags to optimize model training. Gretel’s dataset is designed to fill the gap in training Large Language Models (LLMs) that are specialized in Text-to-SQL tasks.

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AssemblyAI

OCTOBER 2, 2023

Share any innovations you're working on to Discord or tag us on Twitter or LinkedIn ! Discover how to enrich your queries to Large Language Models with relevant documents and delve deep into performing RAG on audio data using LangChain and Chroma.

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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. It is achieved by visually tagging elements using brackets and unique identifiers, such as IDs.

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Marktechpost

MAY 2, 2024

Current approaches involve large language models (LLMs) and datasets that link code to English descriptions. However, the datasets in use have notable shortcomings, such as insufficient samples, vague descriptions, or a focus on interpreted languages instead of compiled ones.

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Marktechpost

JULY 1, 2023

Large Language Models (LLMs) have transformed natural language understanding in recent years, demonstrating remarkable aptitudes in semantic comprehension, query resolution, and text production, particularly in zero-shot and few-shot environments. As seen in Fig.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

By ingesting vast amounts of unlabeled data and using self-supervised techniques for model training, FMs have removed these bottlenecks and opened the avenue for widescale adoption of AI across the enterprise. What are large language models? Large language models (LLMs) have taken the field of AI by storm.

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Marktechpost

JANUARY 30, 2024

Large language models (LLMs) have made impressive advancements in generating coherent text for various activities and domains, including grammatical error correction (GEC), text simplification, paraphrasing, and style transfer. They discovered that CoEdIT performs significantly better on all tasks than these models.

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AssemblyAI

NOVEMBER 8, 2023

This aligns with the scaling laws observed in other areas of deep learning, such as Automatic Speech Recognition and Large Language Models research. Overview of the previous system : Architecture : A two-stage hybrid model combining a DistilBERT -like transformer with rule-based post-processing. Susanto et al.,

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Mlearning.ai

APRIL 21, 2023

In the context of LLM (Large Language Models), text annotation is often used to train and improve the accuracy of these models for specific natural languages processing tasks, such as named entity recognition, part-of-speech tagging, and sentiment analysis.

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LLM Large Language Models Natural Language Processing Computer Vision 52

John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” These statistics reflect the inherent versatility and adaptability of large language models. Additionally, the data indicates that 8.3%

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NLP Large Language Models LLM Data Scientist 52

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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