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Data Science News
Medium
5h
203
Enhancing Business Engagement: Advanced AI and LLM for Detoxifying and Moderating Hate Speech in…
- Online platforms face significant challenges posed by toxic comments which can seriously undermine user experience.
- Recognizing the critical nature of this issue, AI-driven content moderation is crucial.
- The FLAN-T5 model is a crucial component in boosting AI-driven content moderation, thanks to its ability for few-shot learning.
- FLAN-T5’s design makes it highly versatile, and capable of handling different languages and dialects.
- 1. Select and organize the data for training language models.
- 2. Load previously fine-tuned PEFT model for efficient deployment in real-world scenarios.
- 3. Integrate additional configurations, adapter, for model fine-tuning on specific tasks.
- 4. Establish a baseline for Proximal Policy Optimization (PPO) training by creating a frozen copy of the PPO model.
- 5. Fine-tune AI-driven content with the reinforcement learning framework, using toxicity classifier.
- The AI model developed detoxifies online content, fostering healthier and more engaging digital communities.
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12 Likes
Medium
8h
133
Image Credit: Medium
Mathematics is the Spinal cord of Sports Streaming Spectacles
- Mathematics plays a crucial role in sports streaming spectacles
- Mathematicians are behind data compression algorithms that compress video feeds without compromising quality
- Mathematical analysis techniques like image segmentation and optical flow analysis enhance the viewing experience
- Content Delivery Networks (CDNs) optimize network routes and balance loads for seamless streaming
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8 Likes
Medium
8h
66
Image Credit: Medium
Understanding the McCulloch-Pitts MCP-Neuron
- The MCP neuron, also known as a threshold logic unit, represents the simplest workflow or behavior of a biological neuron in a mathematical way.
- The MCP neuron captures the essential features of neural computation and consists of three primary components.
- By adjusting the weights and threshold values, MCP neurons can emulate Boolean logic functions such as AND, OR, and NOT.
- While the MCP neuron provided initial insights into neural computation, it possesses limitations that restrict its capability for solving complex problems.
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4 Likes
Medium
8h
310
Image Credit: Medium
What is data ingestion in Machine Learning? How can it boost your business?
- Machine Learning (ML) is the application of using computers and technology to learn and adapt without explicit instructions.
- Data ingestion is a critical process for data management, involving the collection and conversion of raw data from various sources to a standardized format.
- Proper data ingestion allows ML to handle and analyze data quickly, simplifying the process of evaluating and comparing different data sets.
- Using the right data ingestion with ML can lead to simplified decision-making, accurate ML at earlier stages, improved data quality and quantity, and faster reporting and issue alerting.
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Analyticsindiamag
9h
259
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Microsoft and OpenAI Announce $2 Million for Societal Resilience Fund
- Microsoft and OpenAI have launched a $2 million Societal Resilience Fund to counter AI-generated misinformation during global elections.
- The fund aims to promote AI education and literacy to help voters and vulnerable communities identify authoritative resources.
- Several organizations will be supported by the fund, including OATS, C2PA, International IDEA, and PAI.
- The initiative is part of Microsoft and OpenAI's commitment to combat deceptive use of AI in the 2024 elections and increase AI literacy.
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15 Likes
Medium
9h
341
Research on Lipschitz continuous concept in Machine Learning part5
- This paper discusses derivative-free smooth optimization problems in machine learning.
- Two novel derivative-free methods are proposed for minimizing functions with Lipschitz continuous gradients.
- The methods use gradient approximations based on adaptive finite differences.
- Numerical experiments demonstrate the advantages of the proposed methods over other existing methods.
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20 Likes
Medium
9h
117
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Research on Lipschitz continuous concept in Machine Learning part1
- Researchers address stability properties of the Hamilton — Jacobi — Bellman (HJB) equation in Lipschitz continuous optimal control problems for model-free reinforcement learning.
- They bridge the gap between Lipschitz continuous optimal control problems and classical optimal control problems, exploring stability and convergence rates of value functions.
- A generalized framework for Lipschitz continuous control problems is proposed, along with a new HJB-based reinforcement learning algorithm.
- The proposed method is compared with existing approaches using benchmark examples.
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7 Likes
Medium
9h
206
Research on Convergence rates in Machine Learning research part 8
- We consider Lévy processes that are approximated by compound Poisson processes and, correspondingly, BSDEs driven by Lévy processes that are approximated by BSDEs driven by their compound Poisson approximations.
- The rate of convergence of the Lévy processes depends on the Blumenthal — Getoor index of the process.
- We derive the rate of convergence for the BSDEs in the L2-norm and in the Wasserstein distance, and show that, in both cases, this equals the rate of convergence of the corresponding Lévy process, and thus is optimal.
- We introduce a comprehensive framework for analyzing convergence rates for infinite dimensional linear programming problems (LPs) within the context of the moment-sum-of-squares hierarchy.
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Analyticsindiamag
10h
325
Image Credit: Analyticsindiamag
good-gpt-2-chatbot Gone Rogue
- A mysterious chatbot called good-gpt-2-chatbot has appeared on the LMSYS Org benchmarking website, sparking speculation about its origin.
- OpenAI chief Sam Altman has made cryptic posts on social media hinting at the chatbot's connection to OpenAI, raising curiosity.
- The capabilities of the chatbot are being tested, with claims of it being a smaller version of GPT-5 and showcasing increased reasoning and multimodal capabilities.
- There are speculations about the release of GPT-5 by OpenAI and its potential impact on AI superiority, as well as the possibility of OpenAI testing the model for an upcoming Apple partnership.
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19 Likes
Medium
10h
154
Image Credit: Medium
How To Swap Large Amount of Bitcoin, USDT, Ethereum & Other Cryptocurrencies Privately.
- It's difficult to determine what constitutes a large amount of Bitcoin, as it depends on various factors including the price.
- One platform that offers OTC trading and sells Bitcoin in large volumes is Hi-Table Cryptocurrencies investment and Bitcoin trading OTC Desk.
- The definition of a large amount of BTC varies amongst individuals, but generally, it would be valued at $10,000 or more.
- It is advisable to allocate 5% to 20% of your total investment capital to Bitcoin, depending on your risk tolerance and experience.
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9 Likes
Medium
11h
107
Image Credit: Medium
Effective Data Deduplication for Training Robust Language Models
- Duplicate entries in training datasets can lead to over-fitting and give an illusion of better performance during training.
- Deduplication is key to unbiased model training and ensures that the model encounters a diverse range of examples.
- Lexical deduplication targets exact or near-exact matches, while semantic deduplication goes deeper by finding texts that are similar in meaning.
- By implementing both lexical and semantic deduplication techniques, the dataset's quality is enhanced, leading to more robust and generalizable language models.
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6 Likes
Medium
11h
347
Image Credit: Medium
McCulloch-Pitts Neuron — Mankind’s First Mathematical Model Of A Biological Neuron
- The McCulloch-Pitts model, also known as the McCulloch-Pitts neuron or the threshold logic unit, is a simplified mathematical model of a biological neuron.
- Developed by Warren McCulloch and Walter Pitts in the 1940s, it was one of the earliest attempts to simulate the behavior of neural networks.
- The McCulloch-Pitts model can implement basic logic gates like AND, OR, and NOT, making it suitable for modeling simple logical operations.
- However, it has limitations in modeling complex, continuous functions, and modern artificial neural networks have evolved beyond this simplistic model.
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20 Likes
Medium
11h
104
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Hooked on Pages & Pedals
- Hooked on Pages & Pedals is a blog that combines data analysis, books, and cycling.
- The author is a data enthusiast who works in food analytics and enjoys reading and cycling.
- The blog aims to explore the intersection of data, storytelling, and outdoor adventures.
- The author also shares insights about the science behind pizza toppings and asks readers about their favorite food trends and plant care tips.
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6 Likes
Medium
11h
71
Image Credit: Medium
How to Turn $200M of Bitcoin, USDT, Ethereum And Other Cryptocurrency Into $2B Using Grid-Bots 75%…
- The writer discusses how he can turn $100M into $1B by use of grid bots to reduce liquidation risks. The writer began this on February 14, 2024, and set an initial capital of $70M on Bitcoin, which the writer added $30M on an Ethereum Grid Bot having a total initial capital investment of $100M. Although the ROI has been negative in the last weeks, the writer has accumulated $5M in USDT with 78.20 BTC (market price of $62,312) and 7 ETH (market price of $3,171).
- The write-up talks about how Hi-Table aimed to help clients with bitcoin OTC and cryptocurrency entailing exchange management.
- The writer highlights the strategies he would take if the BOT does or does not collapse.
- The market has seen billions in liquidation in the last month, making it a lower-risk compared to conventional leverage trading practices.
- The writer plans on moving his capital to Hi-Table if the market goes below estimated levels to avoid reselling BIC at a low rate by converting to USDT.
- The power of compounding is essential to understand, as hypothetical returns and performance show monthly published blog posts on results.
- The write-up provides insights for trader's strategy approaches on bull and bear markets and the importance of taking profits.
- The writer has achieved much higher returns in the last crypto bull market and has learned to take profits before the market crash.
- The writer will adjust his strategies along the way in the event of market conditions and describes time-sensitive changes on Medium.
- Overall, the writer is relatively pleased with the results, however, they feel there are a few adjustments required.
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4 Likes
Medium
11h
100
Image Credit: Medium
DataScience with Generative AI Course | Gen AI Course in Hyderabad
- Machine learning involves building mathematical models and algorithms that learn patterns and relationships from data.
- Applications of machine learning include predictive analytics, pattern recognition, and anomaly detection.
- Machine learning enables data scientists to extract actionable insights, automate tasks, and personalize user experiences.
- Machine learning is a cornerstone of data science, driving business success in the data-driven world.
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