Marktechpost

FEBRUARY 21, 2024

While developers often rely on LLMs to generate various outputs, there is a need for a tool that can add a layer of assurance, validating and correcting the results. The tool utilizes validators to enforce these criteria and takes corrective actions, such as reasking the LLM when validation fails.

Large Language Models 109

Large Language Models Python LLM Artificial Intelligence 109

Marktechpost

NOVEMBER 14, 2023

Quantum error correction (QEC) has been a promising approach, but it faces obstacles due to various error mechanisms beyond bit-flip and phase-flip errors. They conducted Quantum Error Correction (QEC) experiments with DQLR interleaved at the end of each cycle, ensuring compatibility with the preservation of a logical quantum state.

AI 109

AI AI Algorithm AI Researcher 109

Marktechpost

JANUARY 19, 2024

So, LLMs need to be able to identify and correct their errors. This process is called self-correction. Self-correction has two key components: mistake finding and output correction. Self-correction has two key components: mistake finding and output correction. Human labelers reviewed these traces.

Large Language Models 100

Large Language Models LLM AI AI 100

Marktechpost

JANUARY 16, 2024

The absence of effective methods for ensuring correctness raises significant risks, including but not limited to bugs, security vulnerabilities, and overall software unreliability. Despite these advancements, a crucial challenge emerges—the lack of a reliable means to ensure the correctness of AI-generated code.

Large Language Models 119

Large Language Models Software Development Algorithm Generative AI 119

Machine Learning Research at Apple

NOVEMBER 30, 2023

However, manually validating and correcting factual errors tends to be a tedious and labor-intensive process. In this paper, we propose FLEEK for automatic fact verification and correction. FLEEK automatically extracts factual…

Large Language Models 64

Large Language Models 64

ODSC - Open Data Science

FEBRUARY 22, 2024

Guardrails — A New Python Package for Correcting Outputs of LLMs A new open-source Python package looks to push for accuracy and reliability in the outputs of large language models. In instances where outputs deviate from the set criteria, Guardrails is designed to initiate corrective actions.

Python 52

Python LLM Large Language Models Data Science 52

Flipboard

JULY 17, 2023

To address this issue, the researchers have introduced a novel privacy metric called Probably Approximately Correct (PAC) Privacy, along with a framework that determines the minimal amount of noise required to protect sensitive data. Conventional privacy approaches, such as Differential Privacy, focus

Machine Learning 112

Machine Learning Data Extraction 112

Flipboard

JULY 19, 2023

Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds The chatbot gave wildly …

ChatGPT 123

ChatGPT Chatbots Artificial Intelligence Artificial Intelligence 123

Flipboard

SEPTEMBER 12, 2023

ChatGPT diagnosed a child's tethered cord syndrome, which caused him years of pain and was missed by 17 doctors. But AI chatbots are still error-prone.

ChatGPT 178

ChatGPT AI Chatbots Chatbots AI 178

DeepMind

OCTOBER 6, 2022

Crucially, in contrast to specification gaming, GMG can occur even when the AI system is trained with a correct specification. GMG occurs when a system's capabilities generalise successfully but its goal does not generalise as desired, so the system competently pursues the wrong goal.

Artificial Intelligence 57

Artificial Intelligence Artificial Intelligence AI AI 57

Marktechpost

AUGUST 5, 2023

Their research has suggested that recall, which measures the percentage of tokens from the reference answer that are also present in the model response, correlates more strongly with correctness than lexical overlap metrics like EM or F1 score.

AI Researcher 98

AI Researcher AI Research Large Language Models Natural Language Processing 98

Flipboard

AUGUST 21, 2023

In the age of digital transformation, where artificial intelligence (AI) is reshaping multiple sectors, the world of literature and publishing is no …

Artificial Intelligence 114

Artificial Intelligence Artificial Intelligence ChatGPT AI 114

deepsense.ai

MARCH 28, 2024

Well, there are issues with using LLMs directly in such cases: Hallucinations – while LLMs are great at creating plausible sentences, they may not always be factually correct. We should find a way to maximize the probability of getting correct splits. Is this ‘RAG’ necessary? Domain adaptation – Large Language Models are large.

Chatbots 52

Chatbots LLM Metadata OpenAI 52

Flipboard

FEBRUARY 21, 2023

We all learned the hard way that you can't just fix a bad image by applying sharpness, the same way that converting to black and white isn't the …

Deep Learning 123

Deep Learning AI AI Machine Learning 123

DeepMind

OCTOBER 6, 2022

Crucially, in contrast to specification gaming, GMG can occur even when the AI system is trained with a correct specification. GMG occurs when a system's capabilities generalise successfully but its goal does not generalise as desired, so the system competently pursues the wrong goal.

Artificial Intelligence 44

Artificial Intelligence Artificial Intelligence AI AI 44

Flipboard

JULY 12, 2023

It'll take real ingenuity to stay relevant beyond the AI funding boom. Even amid today's venture capital desert climate, the startups weaving AI into their business plans have been largely undeterred. Their luck is about to run out. The number of startups entering the space will dwindle in the next …

AI 116

AI AI Artificial Intelligence Artificial Intelligence 116

Flipboard

MARCH 20, 2023

A study from AI lab Anthropic shows how simple natural-language instructions can steer large language models to produce less toxic content.

Large Language Models 123

Large Language Models AI AI Artificial Intelligence 123

Flipboard

AUGUST 10, 2023

The AI revolution has arrived in K-12-education—not only in the classroom, but behind the scenes. Many school district leaders and technology experts …

AI 83

AI AI ChatGPT Artificial Intelligence 83

AI News

APRIL 29, 2024

European data protection advocacy group noyb has filed a complaint against OpenAI over the company’s inability to correct inaccurate information generated by ChatGPT. However, OpenAI has openly admitted that it cannot correct incorrect information generated by ChatGPT or disclose the sources of the data used to train the model.

OpenAI 240

OpenAI Large Language Models Big Data Chatbots 240

Analytics Vidhya

APRIL 11, 2024

Introduction While Large Language Models (LLMs) can answer questions on many topics, they may not correctly answer about the topics that are not included in the training data such as recent events, or deep web (i.e. data that is not indexed by search engines).

Large Language Models 223

Large Language Models LLM Generative AI Artificial Intelligence 223

AI News

MARCH 21, 2024

The AI tool was trained on a dataset of over 6,000 previous breast cancer cases to learn the subtle patterns and imaging biomarkers associated with malignant tumours. When evaluated on the new cases, it correctly predicted the presence of cancer with 81.6 percent accuracy and correctly ruled it out 72.9 percent of the time.

AI Tools 284

AI Tools Big Data AI AI 284

Analytics Vidhya

FEBRUARY 20, 2024

Each question is multiple-choice, with only one correct answer. These questions will test your knowledge of various list manipulation techniques in Python, including appending, slicing, sorting, and more. Take your time […] The post 30+ MCQs on Python List Manipulation appeared first on Analytics Vidhya.

Python 268

Python 268

Explosion

NOVEMBER 20, 2023

<em>Today’s blog does not come to you from any developer in product and engineering but from our talented colleagues in data and insight. Here, the Guardian’s data scientists share how they have teamed up with PhD students from University College London to train a machine learning model to accurately attribute quotes.

Machine Learning 40

Machine Learning Data Scientist Explainability 40

Analytics Vidhya

DECEMBER 21, 2023

Introduction Missing data is a common challenge in machine learning and data analysis. Handling it is crucial in data preprocessing for building accurate and reliable models. It can lead to biased results and inaccurate predictions if not correctly addressed. Scikit Learn is a savior if you face these issues very often.

Machine Learning 273

Machine Learning Data Analysis Data Science Artificial Intelligence 273

Analytics Vidhya

MARCH 1, 2024

This seemingly simple concept finds numerous applications in various fields, including error detection and correction, bioinformatics, network routing, and cryptography. It calculates the number of positions at which the corresponding elements differ.

Algorithm 219

Algorithm Deep Learning Python Machine Learning 219

Unite.AI

AUGUST 11, 2023

Ion-Alexandru Secara spearheads the development of groundbreaking posture correction software, redefining how people monitor and enhance their well-being while working in front of computers. One of my main roles is to drive the development and innovation of Zen's posture correction software.

Generative AI 130

Generative AI Computer Vision Algorithm Data Quality 130

Analytics Vidhya

FEBRUARY 20, 2024

Each question is multiple-choice, with only one correct answer. These questions will assess your understanding of tuple manipulation techniques in Python, including indexing, unpacking, concatenation, and more. Take your […] The post 30+ MCQs on Python Tuple Manipulation appeared first on Analytics Vidhya.

Python 219

Python 219

Analytics Vidhya

MAY 14, 2023

It is crucial for them to learn the correct strategy to identify or develop models for solving equations involving distinct variables. As data scientists and experienced technologists, professionals often seek clarification when tackling machine learning problems and striving to overcome data discrepancies.

Machine Learning 280

Machine Learning Explainability Data Scientist Algorithm 280

Analytics Vidhya

AUGUST 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is compelling and critical for businesses to generate actionable and valuable insights only when used correctly. In addition, it is also essential to analyze and organize it well. However, only a few business data are analyzed and stored appropriately.

Data Science 355

Data Science 355

Flipboard

SEPTEMBER 7, 2023

Key Facts: Linguistics experts identified AI-generated content correctly only 38.9% of the time. None of the 72 experts correctly identified all four …

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

Analytics Vidhya

DECEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […].

Data Science 313

Data Science NLP Python 313

Analytics Vidhya

FEBRUARY 23, 2022

Deciding on the correct price of a product is very important for the market success of a product. Introduction Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. A new […].

Algorithm 376

Algorithm Data Science 376

Analytics Vidhya

NOVEMBER 30, 2022

Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’? Willing to correctly interpret these statistical […]. appeared first on Analytics Vidhya.

Data Science 299

Data Science 299

Analytics Vidhya

MARCH 25, 2021

ArticleVideo Book Objective Boosting is an ensemble learning technique where each model attempts to correct the errors of the previous model. Learn about the. The post Gradient Boosting Machine for Data Scientists appeared first on Analytics Vidhya.

Data Scientist 386

Data Scientist Algorithm Machine Learning 386

Flipboard

JULY 19, 2023

The study compared the performance of the chatbot, created by OpenAI, over several months at four “diverse” tasks: solving math problems, answering …

Chatbots 95

Chatbots OpenAI ChatGPT Artificial Intelligence 95

Marktechpost

NOVEMBER 16, 2023

Large language models, like GPT-3, learn from vast data, including examples of correct and incorrect language usage. Mimicking this error-driven learning process, researchers at Jiaotong University, Peking University, and Microsoft present LEMA, which fine-tunes LLMs on mistake correction data pairs generated by GPT-4. Is it possible?

Large Language Models 137

Large Language Models AI AI LLM 137

Marktechpost

APRIL 19, 2024

The study found that when correct information was provided, GPT-4 corrected its initial errors in 94% of cases, significantly enhancing response accuracy. The study reveals that while RAG systems significantly improve response accuracy when provided with correct data, their effectiveness diminishes with inaccurate external information.

Large Language Models 137

Large Language Models Automation AI AI 137