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Analyticsindiamag
3w
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Fine-Tuning is Dead, Long Live Reinforcement Fine-Tuning
- OpenAI has launched reinforcement fine-tuning (RFT) for its o1 models, marking the end of traditional fine-tuning. With RFT, models do not just copy, they reason and learn from feedback to handle domain-specific tasks with minimal data. Early adopters have made significant achievements with RFT, from identifying genetic mutations that cause rare diseases to training legal models for high-stakes applications such as law and insurance. However, the approach may struggle in subjective domains or creative applications where there is no definite consensus. The RFT alpha program is open to select organizations, integrating domain-specific knowledge to advance mathematics, research and agent-based decision-making.
- OpenAI's RFT enables organizations to train models using reinforcement learning to handle domain-specific tasks with minimal data, sometimes as few as 12 examples. RFT improves reasoning and accuracy in expert-level tasks by using reference answers to evaluate and refine model outputs.
- Justin Reese, a computational biologist, highlighted RFT's transformative potential in healthcare, particularly for rare diseases affecting millions. "The ability to combine domain expertise with systematic reasoning over biomedical data is game-changing," he said.
- OpenAI aims to refine RFT based on feedback from early participants and is set to release it publicly in 2025. Beyond its initial applications, OpenAI envisions RFT models advancing fields like mathematics, research, and agent-based decision-making.
- OpenAI has also released o1, the full version, and a new $200 ChatGPT Pro model, which includes unlimited access to o1, o1-mini, and GPT-4o along with the advanced voice mode. The ChatGPT Pro plan offers all the features of the Plus plan and a new o1 Pro model, which uses more compute for the best answers to the hardest problems. OpenAI has also announced new developer-centric features, including structured outputs, function calling, developer messages, and API image understanding.
- Early adopters have achieved remarkable results with RFT, from identifying genetic mutations that cause rare diseases to training legal models for high-stakes applications such as law and insurance.
- OpenAI is using reinforced learning to train AI models to reason and think through problems, representing an advancement beyond traditional fine-tuning. In contrast to traditional fine-tuning, RFT allows the model to explore various solutions rather than relying on fixed labels, which enables it to focus on improving its reasoning capabilities.
- Interestingly, with RFT, significant performance improvements can be achieved with just a few dozen examples because the model learns from feedback rather than needing to see all possible scenarios. However, the performance of RFT depends heavily on the quality of the training data and the design of the task.
- OpenAI has also announced that its RFT alpha program is now open to select organizations to integrate domain-specific knowledge with the new approach.
- OpenAI aims to refine RFT based on feedback from early adopters and plans to release it publicly in 2025. Beyond its initial applications, OpenAI envisions RFT models advancing fields like mathematics, research, and agent-based decision-making.
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Medium
3w
262
Day 18: Introduction to Convolutional Neural Networks (CNNs)
- CNNs are specially designed to handle images, breaking them down into smaller pieces and extracting important features.
- CNNs use three main techniques to understand images: breaking them down, extracting features, and combining summaries.
- CNNs excel at image recognition and are used for various applications.
- Tomorrow, we'll explore Recurrent Neural Networks (RNNs) and LSTMs.
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Medium
3w
280
Image Credit: Medium
What is face detection and how does it work?
- Privacy is essential to protect personal data and assets from misuse.
- Different individuals have varying levels of privacy needs.
- Face detection technology like Apple's Face ID provides secure authentication.
- FaceLock uses vectors and specific points to match patterns for unlocking.
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Educba
3w
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Image Credit: Educba
Visuals in SEO
- Visuals in SEO are not just decorative; they are essential for engaging readers, improving user experience, and boosting search engine optimization (SEO).
- Visuals enhance engagement, reduce bounce rates, and keep visitors on your page longer.
- Optimizing image file names, alt text, and captions with relevant keywords can boost SEO opportunities.
- Using original content, optimizing for web performance, and leveraging structured data can optimize visuals in SEO.
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Medium
3w
206
Image Credit: Medium
Money Rules To Follow In 2025 That Will Make You Rich
- Spending less than what you make is the key to wealth-building.
- Creating and following a budget is essential for financial success.
- Tracking expenses helps to stay on track and avoid financial strain.
- Investing, along with saving, helps to grow wealth through compound interest.
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Dev
3w
280
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PerspectiveLearning: A Novel Approach to Multi-Algorithm Machine Learning
- Perspective Learning is a novel approach that integrates multiple perspectives in machine learning.
- It allows for the combination of different algorithms and models in one unified framework.
- The PerspectiveLearning library in Python facilitates multi-algorithm integration, dynamic evaluation, and modular design.
- It can be used for supervised, unsupervised, and reinforcement learning tasks.
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Analyticsindiamag
3w
127
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Llama 3.3 Just Made Synthetic Data Generation Effortless
- Meta has unveiled Llama 3.3, a multilingual LLM model for synthetic data generation.
- Llama 3.3 supports diverse languages and allows developers to create customised datasets.
- It addresses challenges like privacy restrictions and resource constraints.
- Llama 3.3 has the potential to revolutionize AI development and set a new standard.
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Analyticsindiamag
3w
1.2k
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Wipro, SIAM.AI Partner to Build AI Tourism Assistant
- Wipro Limited and SIAM.AI have partnered to create an AI-powered digital assistant for Thailand's Tourism Authority.
- The assistant, named 'Sukjai,' will offer 24/7 support in Thai and English, providing tailored recommendations and real-time information to tourists.
- Features include transportation guidelines, lodging availability, crowd flow updates, personalised activity suggestions, emergency assistance, and safety alerts.
- The project aligns with Thailand's focus on digital sovereignty and AI development, aiming to enhance travel experiences and open up economic opportunities.
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Dev
3w
372
Image Credit: Dev
Sorting Algorithms: Comparison and Implementation — Java
- This article provides an overview of different sorting algorithms, focusing on both comparative and non-comparative methods.
- Different types of sorting algorithms are a fundamental component for organizing data, which is often a prerequisite step before the data can be processed, searched, or optimized for algorithms in various applications.
- The article includes practical implementation of Quick Sort using Lomuto and Hoare partition schemes, highlighting their efficiency and use cases in various applications.
- Quick Sort is well suited for scenarios like E-commerce businesses to filter products by price, viewing items from the lowest to highest cost or vice versa.
- The article includes examples of implementation code in Java for Quick Sort using Lomuto Partition scheme.
- In computing science, different types of sorting algorithms are used. No one algorithm fits all applications, and the choice of which sorting algorithm to use depends on factors such as dataset size, data structure, and whether the data is already partially sorted.
- Quick Sort is efficient with large datasets, its time complexity is O(n log n), whereas bubble sort or selection sort have time complexity of O(n²).
- Merge Sort is more suited for linked lists, as it doesn’t require random access to elements, unlike Quick Sort, which relies on indexes to access elements.
- No one algorithm fits all applications and the choice of which sorting algorithm to use depends on factors such as dataset size, data structure, and the degree to which the data is already sorted.
- Quick Sort is an in-place sort, meaning that it uses minimal memory O(1), which is crucial when handling large datasets.
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Medium
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214
Image Credit: Medium
Edge AI: Decentralized Intelligence at Network Boundaries
- Edge AI involves embedding AI models in hardware or software located close to the data source, executing operations locally and ensuring real-time decision-making, enhances privacy, cost efficiency, offline functionality, and scalability.
- AI-enabled devices such as smartphones, sensors, wearables, and autonomous machines equipped with processing power and Edge servers/gateways are key components of Edge AI.
- Edge AI is revolutionizing healthcare (real-time patient monitoring, wearable devices), autonomous vehicles (collision avoidance systems), IoT (smart homes, security systems, and smart agriculture), manufacturing (predictive maintenance), retail (autonomous checkout), and the energy sector (grid optimization).
- The implementation of Edge AI has challenges regarding hardware constraints, data integration, security concerns, scalability.
- Federated learning, 5G integration, and advanced hardware (innovations in chips) will be the future trends associated with Edge AI
- Edge AI represents a paradigm shift in artificial intelligence, unlocking new possibilities across industries by processing data locally, ensuring privacy, and delivering real-time insights, making it indispensable in critical applications.
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12 Likes
Medium
3w
74
Privacy is a right, not a privilege. Stay vigilant. – ShadowFury"
- Riyad, known as ShadowFury, receives a mysterious email urging him to break into Echelon Industries.
- Using his hacking skills, Riyad exploits vulnerabilities and gains access to Echelon's internal network.
- He discovers that Echelon has been embedding spyware in their IoT devices for surveillance purposes.
- Riyad exposes Echelon's actions by uploading evidence and disappears from the web.
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4 Likes
Medium
3w
144
Image Credit: Medium
Level Up Your Business: The Ultimate Digital Marketing Strategy
- Digital marketing allows businesses to reach potential customers on various digital platforms like social media, search engines, email, and websites.
- It enables brands to engage with their audience on a personal level and create lasting connections.
- Digital marketing provides cost-effective solutions, levelizing the competition between small and large companies.
- With data analysis and flexibility, businesses can refine their strategies, adapt to changing environments, and measure their results.
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VentureBeat
3w
359
Sakana AI’s CycleQD outperforms traditional fine-tuning methods for multi-skill language models
- Researchers at Sakana AI have developed a resource-efficient framework called CycleQD that combines the skills of different language models without expensive training processes.
- CycleQD creates swarms of task-specific models, offering a sustainable alternative to increasing model size.
- The technique incorporates quality diversity (QD), using evolutionary algorithms to create populations of models with different skill domains.
- CycleQD outperforms traditional fine-tuning methods, demonstrating its effectiveness in training models to excel across multiple skills.
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Dev
3w
166
Image Credit: Dev
Single Quotes and Double Quotes : String Interpolation and Performance
- Single quotes (') and double quotes (") in PHP serve the same primary purpose of creating strings.
- Single quotes treat everything inside them literally, with only two exceptions: \ to escape a single quote and \ to escape a backslash.
- Double quotes process several escape sequences and parse variables and expressions inside the string.
- When it comes to performance, the difference between single quotes and double quotes is minimal in modern PHP versions.
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10 Likes
Medium
3w
192
Image Credit: Medium
The Role of Artificial Intelligence: Transforming Technology, Society, and Museums
- Artificial Intelligence (AI) has evolved from a theoretical concept to a transformative technology that powers modern-day innovation.
- AI seamlessly integrates into everyday life, reshaping how humans interact with technology and powering technologies like voice assistants and recommendation engines.
- Museums are embracing AI to enhance their practices and engage audiences, leveraging AI and machine learning for data management, personalized visitor experiences, and immersive exhibitions.
- AI is used in prominent museums like the Smithsonian, Metropolitan Museum of Art, Rijksmuseum, and Vatican Museums for various purposes, such as recommendation systems, cataloging collections, restoration analysis, and digital preservation.
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