Unite.AI

FEBRUARY 28, 2024

Some unique capabilities that have excited both researchers and the public include: Text generation: LLMs can autocomplete sentences, write essays, summarize lengthy articles, and even compose fiction. Attackers may attempt to fine-tune surrogate models using queries to the target LLM to reverse-engineer its knowledge.

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Large Language Models LLM Machine Learning Neural Network 162

Allen AI

JUNE 19, 2023

How to be mindful of current risks when using chatbots and writing assistants By Maria Antoniak , Li Lucy , Maarten Sap , and Luca Soldaini Have you used ChatGPT, Bard, or other large language models (LLMs)? Have you interacted with a chatbot or used an automatic writing assistant? However, they can also just make stuff up.

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Large Language Models LLM Chatbots Explainability 143

Unite.AI

NOVEMBER 21, 2023

With the advancements Large Language Models have made in recent years, it's unsurprising why these LLM frameworks excel as semantic planners for sequential high-level decision-making tasks. However, developers still find it challenging to utilize the full potential of LLM frameworks for learning complex low-level manipulation tasks.

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Large Language Models LLM Algorithm Automation 162

Unite.AI

NOVEMBER 14, 2023

While AI can write functional code, ensuring that this code adheres to best practices for readability, efficiency, and maintainability remains a human-driven task. If the training data lacks examples of certain bugs, patterns, or scenarios, the AI’s ability to handle these situations is compromised.

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Large Language Models Software Engineer Computer Scientist ChatGPT 331

Marktechpost

APRIL 3, 2024

Large Language Models (LLMs) have become extremely popular as they can perform complex reasoning tasks in a variety of fields, including creative writing and programming. However, they are computationally expensive to construct and optimize, especially when pretraining on large datasets. Check out the Paper.

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Large Language Models LLM AI AI 104

IBM Journey to AI blog

NOVEMBER 24, 2023

Further, for re-write initiatives, one needs to map functional capabilities to legacy application context so as to perform effective domain-driven design/decomposition exercises. Likewise, there are several other Generative AI use cases that include generating of target technology framework-specific code patterns for security controls.

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Generative AI Auto-complete DevOps Automation 248

Marktechpost

APRIL 1, 2024

Large language models (LLMs) have revolutionized AI by proving their success in natural language tasks and beyond, as exemplified by ChatGPT, Bard, Claude, etc. These LLMs can generate text ranging from creative writing to complex codes. The numeric version of the query is sometimes called an embedding or a vector.

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LLM Metadata Large Language Models Categorization 125

Marktechpost

JULY 4, 2023

They added an external read-write memory to an LLM to verify that it could emulate any algorithm on any input. Their research is summarised in the paper “Memory Augmented Large Language Models are Computationally Universal,” which shows how an LLM enhanced with an associative read-write memory is computationally universal.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 108

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. 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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Neural Network LLM AI AI 239

Flipboard

JUNE 13, 2023

For instance, we’ve used LLM models, including ChatGPT, with a fair amount of success to assist with internal tasks like migrating from one programming language to another, helping developers understand legacy code written by other colleagues, or writing functions for converting data formats. ” Laura Butler.

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Generative AI Auto-complete Software Engineer AI 175

Marktechpost

MAY 13, 2024

These tokens were often specialized or infrequently used words, which exhibited the most significant discrepancies in embedding weight patterns. This research has significant implications for the development and maintenance of LLMs.

Automation 94

Automation Computational Linguistics Large Language Models Natural Language Processing 94

NYU Center for Data Science

AUGUST 21, 2023

Trained on an incredibly vast amount of language gleaned from various internet sources, the chatbot has produced a steady stream of conversations, essays, and even books, that are often indistinguishable from human writing. The study raises significant questions about how AI models should be tested for intelligence in the future.

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LLM Large Language Models Data Science ChatGPT 73

Marktechpost

MAY 3, 2024

It covers leveraging prompt patterns to tap into powerful capabilities within these models. ChatGPT Prompt Engineering for Developers This course teaches you how to leverage LLMs in your own applications and build a custom chatbot.

ChatGPT 100

ChatGPT Prompt Engineer Prompt Engineering Large Language Models 100

Unite.AI

SEPTEMBER 13, 2023

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. Thankfully, there is a way to bypass generative AI’s explainability conundrum – it just requires a bit more control and focus.

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Explainability Generative AI AI Tools AI 278

Bugra Akyildiz

APRIL 20, 2024

A core part of this process involves writing SQL queries to analyze data and solve analytical problems. The initial version of the Text-to-SQL solution relied on an LLM as the core component. This information, along with the specific SQL dialect used at Pinterest, would then be compiled into a prompt and fed into the LLM.

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LLM Natural Language Processing NLP Big Data 52

Marktechpost

APRIL 9, 2024

Large Language Models (LLM) have immense capabilities that have advanced remarkably in the last few years. Prominent models such as GPT, Gemini, and Llama have raised the bar in a number of areas, including logical reasoning, coding, and creative writing.

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Large Language Models Data Quality LLM ML 100

Heartbeat

FEBRUARY 29, 2024

Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems. We’ll explore how LLMs reshape how we write code, their potential for increasing developer productivity, and what lies beyond LLMs in the ever-evolving programming world.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

O'Reilly Media

DECEMBER 12, 2023

If a human writes software to generate prompts that in turn generate an image, is that copyrightable? Training an LLM means teaching it how to understand and reproduce human language. This fallacy was probably encouraged by another New Yorker article arguing that an LLM is like a compressed version of the web. Is it possible?

AI 101

AI AI LLM Black Box AI 101

NVIDIA

OCTOBER 30, 2023

ChipNeMo Surfaces The paper details how NVIDIA engineers created for their internal use a custom LLM, called ChipNeMo, trained on the company’s internal data to generate and optimize software and assist human designers. A code generator will help designers write software for a chip design.

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Generative AI Large Language Models Computer Vision AI 122

Towards AI

JULY 21, 2023

LLMs (AI model that powers chatbots like Bard and CHatGPT) can be thought of as running in System 1. LLMs (the AI models that run these chatbots) work by finding patterns in the billions of training data that it was trained on before, and it generates a response that matches the common pattern. Finding a trend or pattern.

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Chatbots AI Chatbots AI AI 90

Chatbots Life

APRIL 19, 2024

Generative AI Overview According to McKinsey , Generative AI is “a type of AI that can create new data (text, code, images, video) using patterns it has learned by training on extensive (public) data with machine learning (ML) techniques.” It analyzes existing data to discover patterns and generate new content.

Generative AI 59

Generative AI Conversational AI Automation AI 59

Viso.ai

FEBRUARY 11, 2024

And, while content generation and AI writing tools are extremely impactful on efficiency and idea generation, they do not always result in the creation of high-quality content. LLMs are built using deep learning techniques and trained on vast amounts of data. A few examples of LLMs are ChatGPT, Bard, Claude 2, and LLAMA2.

Metadata 59

Metadata Computer Vision AI AI 59

Viso.ai

FEBRUARY 11, 2024

And, while content generation and AI writing tools are extremely impactful on efficiency and idea generation, they do not always result in the creation of high-quality content. LLMs are built using deep learning techniques and trained on vast amounts of data. A few examples of LLMs are ChatGPT, Bard, Claude 2, and LLAMA2.

Metadata 59

Metadata Computer Vision AI AI 59

Bugra Akyildiz

AUGUST 5, 2023

Salesforce AI Research introduces XGen , a 7B LLM (large language model) trained on up to 8K sequence length for up to 1.5T HumanEval: A benchmark for measuring the ability of LLMs to generate code that is similar to code written by humans. The model is generalizable, efficient, and can be used to address a wide variety of tasks.

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LLM Large Language Models OpenAI Python 52

Towards AI

MAY 23, 2023

This is where Large Language Model (LLM) can help. From contextual response generation to sentiment detection, LLMs can offer significant benefits in handling customer interactions. I will walk through few examples and benefits of using LLM for customer service operation. LLMs excel at a variety of language-related tasks.

Large Language Models 90

Large Language Models Categorization LLM Automation 90

NVIDIA

NOVEMBER 15, 2023

We always planned to have a nicer sounding name, but when it came time to write the paper, no one had a better idea,” said Lewis, who now leads a RAG team at AI startup Cohere. In other words, it fills a gap in how LLMs work. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain.

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LLM Generative AI AI Modeling Neural Network 136

Towards AI

MAY 2, 2023

Here is an example plot we will create by just asking in plain English to create 3 clusters (using kmeans) using income and spending variables, and present the breakdown of spending for each cluster without writing any code. Are there any differences in spending patterns between male and female customers?

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Chatbots ML Natural Language Processing ChatGPT 80

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It focuses on providing the model with a good quality training prompt for appropriate context so that the model can find patterns and trends in the data.

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 113

Unite.AI

DECEMBER 7, 2023

Language Models: Large language models (LLMs), like GPT-3 , are a form of AI designed for comprehending and generating human-like text. They undergo training on extensive and diverse internet data, covering a broad spectrum of topics and writing styles.

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Large Language Models OpenAI Neural Network Natural Language Processing 204

Marktechpost

JULY 4, 2023

Though recent advances have been made in large language model (LLM) reasoning, LLMs still have a hard time with hierarchical multi-step reasoning tasks like developing sophisticated programs. While they intended to enable natural language coding, they discovered that LLMs also excel in Parsel coding.

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Large Language Models Artificial Intelligence Artificial Intelligence Algorithm 99

Towards AI

APRIL 4, 2024

Generative AI, and LLMs specifically, is a General Purpose Technology that is useful for a variety of applications LLMs can be, generally, thought of as a next word prediction model What is an LLM? Instead of formalized code syntax, you provide natural language prompts to the models. This process is known as inference.

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OpenAI Large Language Models Python Generative AI 88

Towards AI

SEPTEMBER 4, 2023

Frameworks such as LangChain or LlamaIndex have certainly achieved relevant levels of adoption within the LLM community and Microsoft’s Semantic Kernel is boosting an impressive set of capabilities. A Signature encapsulates a declarative representation of an input/output behavioral pattern associated with a DSPy module.

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LLM Python Deep Learning Neural Network 97

AWS Machine Learning Blog

APRIL 13, 2023

CodeWhisperer is powered by a Large Language Model (LLM) that is trained on billions of lines of code, and as a result, has learned how to write code in 15 programming languages. You can simply write a comment that outlines a specific task in plain English, such as “upload a file to S3.”

ML 84

ML Artificial Intelligence Artificial Intelligence Software Engineer 84

Unite.AI

FEBRUARY 23, 2024

Module 1 introduces the concept of prompt engineering in generative AI, emphasizing best practices for writing effective prompts. Diverse Techniques : Explore zero-shot, few-shot, Interview Pattern, Chain-of-Thought, and Tree-of-Thought techniques. Broad Audience Appeal : Suitable for anyone with basic computer usage skills.

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Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

Bugra Akyildiz

OCTOBER 28, 2023

I really liked the following notebook on LLM development and its developments over time. The model is able to identify unique patterns and characteristics in these images that may provide a basis for meaningful groupings. LMQL is a programming language for large language models (LLMs) based on a superset of Python.

Deep Learning 52

Deep Learning Natural Language Processing Machine Learning Large Language Models 52

Pickl AI

AUGUST 2, 2023

The model then fine-tunes specific datasets to optimize its performance for various applications, such as customer support, creative writing, or educational purposes. The objective is to build a language model that captures the statistical patterns and relationships in the text data. How ChatGPT Works?

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

Towards AI

OCTOBER 11, 2023

To remind you why it’s important, a vanilla LLM requires exponentially more memory and processing time as the context length gets longer to generate the next token. Imagine GPT writing the end of a book. Colors indicate data type and patterns indicate the data shape. What we’re seeing below is the beginning of a loop.

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LLM BERT AI AI 111