Unite.AI

APRIL 26, 2024

LLMs based on prefix decoders include GLM130B and U-PaLM. All three architecture types can be extended using the mixture-of-experts (MoE) scaling technique, which sparsely activates a subset of neural network weights for each input.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 275

AI Weekly

AUGUST 31, 2023

forbes.com A subcomponent-guided deep learning method for interpretable cancer drug response prediction SubCDR is based on multiple deep neural networks capable of extracting functional subcomponents from the drug SMILES and cell line transcriptome, and decomposing the response prediction. dailymail.co.uk dailymail.co.uk

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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Marktechpost

JULY 21, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling the creation of language agents capable of autonomously solving complex tasks. The current approach involves manually decomposing tasks into LLM pipelines, with prompts and tools stacked together. Researchers from AIWaves Inc.

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Artificial Intelligence Artificial Intelligence Neural Network Large Language Models 111

Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. Through training, LLMs learn to predict the next word in a sequence, given the words that have come before.

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Large Language Models LLM Machine Learning Neural Network 187

Marktechpost

AUGUST 5, 2024

Conventional methods involve training neural networks from scratch using gradient descent in a continuous numerical space. In contrast, the emerging technique focuses on optimizing input prompts for LLMs in a discrete natural language space. It outperforms traditional prompt optimization in learning detailed insights.

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Machine Learning Neural Network LLM Prompt Engineer 119

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Prompt Engineer Prompt Engineering Data Science LLM 52

Marktechpost

OCTOBER 8, 2023

Prompts are essential for improving the performance of LLMs like GPT-3.5 The way that prompts are created can have a big impact on an LLM’s abilities in a variety of areas, including reasoning, multimodal processing, tool use, and more. The task prompts are then subjected to mutations, resulting in variants.

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Large Language Models Neural Network Prompt Engineer Prompt Engineering 141

Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 91

Neural Network Natural Language Processing Large Language Models Deep Learning 91

Marktechpost

OCTOBER 1, 2024

Here are ten proven strategies to reduce LLM inference costs while maintaining performance and accuracy: Quantization Quantization is a technique that decreases the precision of model weights and activations, resulting in a more compact representation of the neural network.

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Large Language Models LLM Prompt Engineer Prompt Engineering 67

Unite.AI

AUGUST 28, 2023

Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience. Chatbots & Early Voice Assistants : As technology evolved, so did our interfaces.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Marktechpost

MAY 21, 2024

However, the rapid adoption of LLMs has sparked interest in a new paradigm, Neurosymbolic programming, which combines neural networks and traditional symbolic code to create sophisticated algorithms and applications. This approach relies heavily on constructing the right input prompts, a task that can be complex and tedious.

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Neural Network LLM Prompt Engineer Prompt Engineering 107

AssemblyAI

MAY 23, 2023

Neural Networks and Transformers What determines a language model's effectiveness? The performance of LMs in various tasks is significantly influenced by the size of their architectures, which are based on artificial neural networks. A simple artificial neural network with three layers.

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Marktechpost

MAY 30, 2024

It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It teaches about the generative AI workflow and how to use Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. It includes lessons on vector search and text embeddings, practical demos, and a hands-on lab.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Prompt engineering is crucial to steering LLMs effectively.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

Towards AI

JUNE 28, 2024

Figure 1: [link] The LLM market is expected to grow at a CAGR of 40.7%, reaching USD 6.5 Feed Forward Neural Network: The logits are then outputted by the feedforward neural network. Let us now turn our attention towards Prompt Engineering. billion by the end of 2024, and rising to USD 140.8

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Prompt Engineer Prompt Engineering Neural Network Data Analysis 89

AssemblyAI

MARCH 18, 2024

What are Large Language Models (LLMs)? A Large Language Model (LLM) is a type of deep learning neural network trained on massive amounts of data and then fine-tuned for specific applications.

Generative AI 147

Generative AI Large Language Models AI AI 147

Snorkel AI

FEBRUARY 18, 2025

But theres a catch: LLMs, particularly the largest and most advanced ones, are resource-intensive. Enter LLM distillation, a powerful technique that helps enterprises balance performance, cost efficiency, and task-specific optimization. By distilling large frontier LLMs like Llama 3.1 What is LLM distillation?

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LLM Data Scientist Neural Network Large Language Models 52

Snorkel AI

FEBRUARY 18, 2025

But theres a catch: LLMs, particularly the largest and most advanced ones, are resource-intensive. Enter LLM distillation, a powerful technique that helps enterprises balance performance, cost efficiency, and task-specific optimization. By distilling large frontier LLMs like Llama 3.1 What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Large Language Models 52

Towards AI

FEBRUARY 20, 2025

You will also find useful tools from the community, collaboration opportunities for diverse skill sets, and, in my industry-special Whats AI section, I will dive into the most sought-after role: LLM developers. But who exactly is an LLM developer, and how are they different from software developers and ML engineers?

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Neural Network Explainability LLM Software Development 79

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. This stands in contrast to the conventional practice of “prompt engineering” relying on ad hoc string manipulation techniques.

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Python Deep Learning LLM Neural Network 105

Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI? Deep learning neural network.

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Marktechpost

JUNE 27, 2023

Although training methods for cutting-edge LLMs have yet to be made public, recent in-depth reports imply that the underlying architecture of these systems has changed little, if at all. As resources are poured into LLM, unexpectedly crucial behaviors often emerge. No effective methods exist for influencing the actions of LLMs.

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Large Language Models LLM Neural Network Prompt Engineer 97

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

Bugra Akyildiz

JULY 16, 2023

Articles LLM Arena You want to use a chatbot or LLM, but you do not know which one to pick? Or you simply want to compare various LLMs in terms of capability? Large language models (LLMs) have shown promise in proving formal theorems using proof assistants such as Lean. It uses FastChat under the hood for evaluation.

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LLM Chatbots Neural Network Large Language Models 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. Strong domain knowledge for tuning, including prompt engineering, is required as well. Only prompt engineering is necessary for better results.

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AssemblyAI

SEPTEMBER 29, 2023

Controlling text to image models is a difficult task, and they often may not convey visually specific concepts or details provided in the prompt. As a result, the concept of prompt engineering came to be, which is the study and practice of developing prompts specifically to drive tailored outputs of text-to-image models.

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TheSequence

JANUARY 19, 2024

With traditional ML, you needed to collect and manually annotate a dataset before designing an appropriate neural network architecture and then training it from scratch. With LLMs, you start with a pre-trained model and can customize that same model for many different applications via a technique called " prompt engineering ".

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Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

Heartbeat

DECEMBER 14, 2023

" {chat_history} Question: {input} {agent_scratchpad} """ llm = OpenAI(temperature=0.0) tools = load_tools(["ddg-search", "llm-math", "wikipedia"], llm=llm) tools[0].description in 1998, In general, LeNet refers to LeNet-5 and is a simple convolutional neural network.

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Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

Bugra Akyildiz

AUGUST 17, 2024

Articles HALVA (Hallucination Attenuated Language and Vision Assistant) approach involves specific modifications to the model architecture and the objective function to address hallucinations in multimodal large language models (LLMs). The new approach that Google proposed tries to mitigate this large limitation of the vanilla LLMs.

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Convolutional Neural Networks Large Language Models Neural Network Machine Learning 59

Heartbeat

DECEMBER 8, 2023

Agents vs. Chains The core idea of agents is to use an LLM to choose a sequence of actions. In agents, a language model is used as a reasoning engine to determine which actions to take and in which order. Agents use an LLM as a reasoning engine and connect it to two key components: tools and memory. name, tools[0].description

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Convolutional Neural Networks Neural Network Deep Learning LLM 52

Bugra Akyildiz

MARCH 30, 2024

The main problem that DSPy solves in the prompt engineering is the process of creating instructions for large language models (LLMs) in a way that gets the desired output. It is a complex task that requires understanding the capabilities and limitations of LLMs as well as the specific task at hand.

Explainability 52

Explainability Prompt Engineer Prompt Engineering Machine Learning 52

Bugra Akyildiz

AUGUST 3, 2024

Articles Meta has announced the release of Llama 3.1 , latest and most capable open-source large language model (LLM) collection to date. Libraries Treescope is an interactive HTML pretty-printer and N-dimensional array ("tensor") visualizer, designed for machine learning and neural networks research in IPython notebooks.

Neural Network 52

Neural Network Prompt Engineer Prompt Engineering Large Language Models 52

Snorkel AI

JUNE 23, 2023

This approach was less popular among our attendees from the wealthiest of corporations, who expressed similar levels of interest in fine-tuning with prompts and responses, fine-tuning with unstructured data, and prompt engineering.

Data Science 64

Data Science Large Language Models Data Scientist Machine Learning 64

Snorkel AI

JUNE 23, 2023

This approach was less popular among our attendees from the wealthiest of corporations, who expressed similar levels of interest in fine-tuning with prompts and responses, fine-tuning with unstructured data, and prompt engineering.

Data Science 64

Data Science Large Language Models Data Scientist Machine Learning 64

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. They are usually trained on a massive amount of text data. So, let’s start with how it’s done.

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Large Language Models Prompt Engineer Prompt Engineering ChatGPT 52