Marktechpost

MARCH 9, 2024

In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating syntactically accurate code across various programming languages. SynCode works with a variety of Large Language Model (LLM) decoding algorithms, including beam search, sampling, and greedy.

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Towards AI

MARCH 15, 2024

Photo by Martin Martz on Unsplash A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development. Let’s look at LLM-powered application characters first.

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deepsense.ai

JULY 30, 2023

To start simply, you could think of LLMOps ( Large Language Model Operations) as a way to make machine learning work better in the real world over a long period of time. As previously mentioned: model training is only part of what machine learning teams deal with. What is LLMOps? Why are these elements so important?

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ODSC - Open Data Science

FEBRUARY 15, 2024

Large language models have taken the world by storm, offering impressive capabilities in natural language processing. However, while these models are powerful, they can often benefit from fine-tuning or additional training to optimize performance for specific tasks or domains. Why Fine-Tune a Model?

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NVIDIA

JUNE 7, 2023

Researchers at NYU Langone Health, the academic medical center of New York University, have collaborated with NVIDIA experts to develop a large language model (LLM) that predicts a patient’s risk of 30-day readmission, as well as other clinical outcomes. Nearly 15% of hospital patients in the U.S.

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AWS Machine Learning Blog

MARCH 12, 2024

In this post, we discuss how Leidos worked with AWS to develop an approach to privacy-preserving large language model (LLM) inference using AWS Nitro Enclaves. Technical architectures need to be implemented in order to make sure that LLMs don’t expose sensitive information during inference.

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Marktechpost

JUNE 6, 2023

These models are particularly Transformer-based large language models (LLMs) pretrained on large-scale code data (“Code LLMs”). Despite LLMs’ clear benefits, most developers still find it difficult and time-consuming to create and implement such models from scratch.

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Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

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Dlabs.ai

NOVEMBER 15, 2023

8 Software Developer Tasks Tailor-Made For ChatGPT ChatGPT works in a variety of contexts, but we often find ourselves returning to it for eight tasks in particular. When To Use A Tool Like Copilot ChatGPT isn’t the only large language model-based tool out there. Ready to feel inspired? Make the most of them.

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AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models.

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AI Weekly

MARCH 28, 2024

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. theguardian.com Amazon invests an additional $2.75

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Marktechpost

APRIL 26, 2024

Understanding and reasoning about program execution is a critical skill for developers, often applied during tasks like debugging and code repair. Traditionally, developers simulate code execution mentally or through debugging tools to identify and fix errors. Check out the Paper. Also, don’t forget to follow us on Twitter.

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AI Weekly

FEBRUARY 29, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. We explore how AI can transform roles and boost performance across business functions, customer operations and software development.

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Marktechpost

MARCH 9, 2024

Large language models (LLMs) have revolutionized code generation in software development, providing developers with tools to automate complex coding tasks. Check out the Paper and Github. All credit for this research goes to the researchers of this project.

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Unite.AI

NOVEMBER 1, 2023

The software development industry is a domain that often relies on both consultation and intuition, characterized by intricate decision-making strategies. Furthermore, the development, maintenance, and operation of software require a disciplined and methodical approach. Documentation.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. To use this service, simply set up the environment via the AWS Cloud9 console.

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TheSequence

MARCH 11, 2024

To successfully build an AI application, evaluating the performance of large language models (LLMs) is crucial. Given the inherent novelty and complexities surrounding LLMs, this poses a unique challenge for most companies. Today, Peter shares his insights on LLM evaluations.

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Heartbeat

FEBRUARY 29, 2024

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. 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.

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Marktechpost

DECEMBER 12, 2023

LLMCompiler enables parallel execution of function calls through its components: LLM Planner, Task Fetching Unit, and Executor. LLMCompiler is a framework that enables LLMs to perform parallel function calls, enhancing efficiency and accuracy in multi-function tasks. Check out the Paper and Github.

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Unite.AI

APRIL 25, 2024

The introduction of graphical user interfaces (GUIs) like Windows and MacOS has made modern operating systems more user-friendly and interactive, while also expanding the OS ecosystem with runtime libraries and a comprehensive suite of developer tools. Let's dive in.

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Marktechpost

MARCH 27, 2024

In today’s digital age, software developers and product teams are inundated with user feedback from various channels – app reviews, forum posts, social media comments, and more. The genius of AllHands lies in its structured workflow, which combines the strengths of LLMs with traditional feedback analysis techniques.

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Machine Learning Large Language Models Software Development Natural Language Processing 132

NVIDIA

MARCH 27, 2024

Stable Video Diffusion is now optimized for the NVIDIA TensorRT software development kit, which unlocks the highest-performance generative AI on the more than 100 million Windows PCs and workstations powered by RTX GPUs. Optimized for LLMs What TensorRT brings to deep learning, NVIDIA TensorRT-LLM brings to the latest LLMs.

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TheSequence

OCTOBER 15, 2023

📝 Editorial: Next Week in The Sequence: LLM Scaling Laws vs. Everything Else The prevailing mantra in recent years for large language models (LLMs) has been "bigger is better." The question arises: are the LLM scaling laws approaching their limits? million to streamline security reviews using LLMs.

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Unite.AI

APRIL 26, 2024

In technology, for example, GenAI-based coding assistants are a massive help to software developers in suggesting code snippets, refactoring code, fixing bugs, understanding complex code, writing unit tests, documentation and creating complete end-to-end applications. Take the time to experiment, test and validate the output.

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Marktechpost

MARCH 3, 2024

Large Language Models (LLMs) have significantly shifted the paradigm of how machines interpret and generate human language. These models have demonstrated unparalleled prowess in converting natural language instructions into executable code, marking a monumental leap in machine learning capabilities.

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Unite.AI

OCTOBER 18, 2023

This year, the report underscores some particularly significant advancements in the field of Large Language Models (LLMs), emphasizing their growing influence and the broader implications for the AI community. The financial figures speak for themselves.

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Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. It begins by emphasizing the importance of understanding how these models respond to natural language prompts.

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Unite.AI

MAY 10, 2024

By 2010 I was already working on a deep-learning project (with 3 layers deep neural network) laying the groundwork for my time at Alibaba where I led a research group specializing in neural architecture search, training models, and building AutoML tools for developers.

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Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. The design is similar to a traditional application but considers LLM-powered application-specific characters and components.

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Large Language Models Prompt Engineer Prompt Engineering AI 75

Towards AI

JUNE 4, 2023

This model is a 7b parameter model means consumer GPUs are in business. Source: Gorilla paper Large Language Models (LLMs) have seen an impressive wave of advances recently, with models now excelling in a variety of tasks, such as mathematical reasoning and program synthesis.

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Marktechpost

JANUARY 16, 2024

The trend of employing large language models (LLMs) for code generation is rapidly gaining momentum in software development. The absence of effective methods for ensuring correctness raises significant risks, including but not limited to bugs, security vulnerabilities, and overall software unreliability.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. 9 Open Source LLMs and Agents to Watch These are some interesting and new LLMs and LLM agents that we are following and that you should be too.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

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Marktechpost

FEBRUARY 4, 2024

Optimizing code through abstraction in software development is not just a practice but a necessity. The development of generalizable abstractions, especially in automated program synthesis, stands at the forefront of current research endeavors. in graphics generation, 26.1% in date reasoning, and 8.1%

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Unite.AI

MARCH 13, 2024

One way that holds promise is the integration of AI and Large Language Models (LLMs). Leveraging these technologies can contribute to the early detection and mitigation of vulnerabilities in libraries not discovered before, strengthening the overall security of software applications.

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Topbots

FEBRUARY 12, 2024

.” This new edition builds upon the foundational knowledge provided in the first edition, introducing critical updates and new chapters on the cutting-edge areas of Generative AI and Large Language Models (LLMs). What’s New in the Second Edition? Get Kindle Buy Paperback Interested in the latest AI advances?

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ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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