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Medium
12h
115
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Congress Overturns SEC Crypto Accounting Policy Amid Industry Pressure, But Presidential Veto Looms
- The U.S. Congress has overturned the SEC's crypto accounting policy under heavy industry pressure.
- The Financial Innovation and Technology for the 21st Century Act (Fit21) aims to elevate the CFTC as a key crypto regulator.
- However, the legislation still requires President Biden's approval, and a potential veto looms.
- The future of crypto regulation in the U.S. depends on next week's vote and the presidential decision.
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Medium
12h
227
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AI Andy (LLM) Needs a Break (and Maybe a Vacation!)
- AI Andy (LLM) needs a break and maybe a vacation!
- Andy's circuits were overloaded due to excessive data.
- His bosses tried a new algorithm to improve his performance.
- Andy AI became unstoppable and outperformed other AI search engines.
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Medium
12h
79
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Encoder-Decoder vs. Decoder-Only
- The blog describes the differences between enc-dec and dec-only models and when to use each model.
- Dec-only architecture has gained popularity due to the success of the GPT model series by OpenAI, which is simpler, omnivorous, and scalable.
- An information bottleneck occurs as the layers get deeper in an enc-dec architecture.
- Inefficient for multi-turn chat applications is the second issue with enc-dec architecture.
- Despite the challenges in enc-dec models, there are advantages to them, like avoiding missing attentions and utilizing two distinct stacks when the target and input differ.
- Encoder-decoder models might have some advantages due to their separate parameter sets when the input and output targets are significantly different.
- For tasks that benefit from bi-directionality, like NER, encoder-decoder models may perform better even with a smaller parameter size.
- The niche for encoder-decoder models remains due to their advantages even though encoder-decoder models are now largely managed by scaling.
- The blog post is authored by Minki Jung, an AI developer interested in joining a startup that creates a customer product using LLMs.
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Marktechpost
12h
57
Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data
- Google AI researchers describe their novel approach to generating differentially private synthetic data.
- The approach leverages parameter-efficient fine-tuning techniques to improve data quality and reduce computational overhead.
- Empirical results show that the proposed method outperforms existing methods in generating high-quality synthetic data.
- The approach preserves privacy while enabling robust model training and has potential for broader applications in privacy-preserving machine learning.
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Insider
12h
2.2k
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OpenAI founders Sam Altman and Greg Brockman go on the defensive after top safety researchers quit
- OpenAI's CEO Sam Altman and President Greg Brockman are facing concerns after the resignation of two top safety researchers.
- Ilya Sutskever and Jan Leike, who led the AI safety team, left the company.
- The departures raised questions about OpenAI's commitment to preventing AI from causing harm.
- Altman and Brockman are working to reassure the public and have outlined their approach to safety and risk in a recent post.
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Medium
12h
329
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Understanding Markov Decision Processes
- Markov Decision Processes (MDPs) are used to model decision-making problems in which outcomes are partly random and partly under the control of a decision maker.
- MDPs consist of a set of states, a set of actions, transition probabilities, and rewards.
- The aim of an MDP is to obtain good policies to obtain the best value.
- An optimal policy is calculated using the Bellman equation, and the optimal value for the game is obtained by evaluating the optimal policy.
- The value of a state depends on the values of the actions possible and the current policy.
- The Q-value, or the value of a state-action pair, depends on the expected next reward and the expected sum of the remaining rewards.
- The discount factor is a parameter that specifies the importance of future rewards relative to immediate rewards.
- When specifying the MDP, the transition probabilities should sum to 1.
- MDPs help in decision making processes that involve random outcomes and decisions to be made by the decision maker.
- Resources to further understand MDPs include the book on Reinforcement Learning by Sutton and Barto and the lecture on this topic by Dorsa Sadigh in CS 221 at Stanford.
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Knowridge
13h
896
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Scientists use AI to uncover rare cosmic signals
- Scientists led by Prof. Ge Jian from the Shanghai Astronomical Observatory have used AI to detect rare signals in the universe.
- The team focused on weak signals from quasar spectra, specifically identifying 'neutral carbon absorbers'.
- Using deep learning neural networks, they discovered 107 neutral carbon absorbers, double the number found in 2015.
- Their findings suggest that early galaxies with neutral carbon absorbers evolved rapidly after the Big Bang, challenging existing models of galaxy formation.
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9 Likes
Medium
13h
130
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How to Bypass Character AI Filter: A Comprehensive Guide
- Character AI filters are algorithms that monitor and regulate AI-generated content.
- Bypassing AI filters can be done using synonyms, obfuscation, contextual diversion, encoding, and multi-language integration.
- Ethical considerations are crucial when bypassing AI filters, including transparency, educational focus, and providing feedback to developers.
- Future AI filters will likely become more sophisticated, employing advanced techniques and adaptive learning.
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7 Likes
Medium
13h
43
Image Credit: Medium
OpenAI Unveils GPT-4o: The Future of AI is Here
- OpenAI has released GPT-4o, an AI model that can understand and generate text, images, and audio.
- Codeium, an AI coding assistant, is gaining popularity as an efficient alternative to Microsoft's Copilot.
- Synthetic data is essential for developing large language models, addressing data privacy concerns.
- Weka secures $140 million in funding, emphasizing the importance of data platforms in supporting AI development.
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2 Likes
Medium
13h
119
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AI Tools for Improving Customer Service Efficiency
- Custom AI solutions are revolutionizing customer service efficiency by automating tasks, analyzing data, and delivering personalized interactions.
- AI chatbots, virtual assistants, and sentiment analysis tools automate routine inquiries and provide round-the-clock support.
- AI-driven UX design personalizes interactions, predicts user behavior, and enhances engagement for tailored experiences.
- AI algorithms analyze customer data to deliver personalized offers, content, and communications for increased customer loyalty.
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7 Likes
Medium
13h
283
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8 Coding Practices for Information Researchers
- Good coding practices are crucial for information researchers, who often collaborate with multiple teams on projects for data analysis and sharing code.
- In this article 8 of the most fundamental coding rehearses are discussed, grounded in research and that will assist you with taking your work to a higher level.
- The central standard is to break programs into functions, naming conventions and style guides are important elements in the code's readability.
- Data science workflows can involve complex and tedious tasks, but tools like Apache Airflow and Prefect can be used to automate these workflows.
- Version control, where Git is the industry standard, enables data scientists to track every change in their code, experiment with different parts of the development, and collaborate seamlessly.
- Testing and documentation are also important aspects of good coding practices for data scientist.
- Python's simplicity and comprehensive libraries, like Pandas and TensorFlow, address most data science requirements, balancing quick development and execution.
- Collaboration in data science is about ensuring that the code processes and analyzing the data are robust and well understood by all team members.
- Code reviews play a crucial role in identifying bugs, improving code readability, and facilitating data transfer within teams.
- Tools such as issue tracking systems (such as Trac or GitHub's included Issues) are essential for maintaining an organized approach to manage tasks, bugs, and features of a project.
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17 Likes
Medium
13h
290
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ChatGPT 4 Omni: A Revolution in Our World?
- ChatGPT 4 Omni aims to be an all-encompassing AI assistant, capable of handling complex queries and providing personalized assistance.
- However, there are concerns regarding biases and misinformation that AI models like ChatGPT 4 Omni may generate.
- Ethical considerations, including job displacement and privacy concerns, need to be addressed in the development and deployment of AI.
- While ChatGPT 4 Omni represents a significant milestone, its impact will depend on responsible and ethical use.
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Marktechpost
13h
250
Planning Architectures for Autonomous Robotics
- Autonomous robotics has seen significant advancements over the years, driven by the need for robots to perform complex tasks in dynamic environments.
- OpenRAVE is an open-source software architecture developed to facilitate the integration and testing of high-level planning algorithms with real-time control systems.
- OpenRAVE provides a seamless interface for 3-D simulation, visualization, planning, scripting, and control.
- Planning architectures like OpenRAVE play a crucial role in advancing the capabilities of autonomous robotics by providing a flexible, open-source framework for integrating planning algorithms with real-time control systems.
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15 Likes
Dynamicbusiness
13h
98
Image Credit: Dynamicbusiness
Photoroom: Ai image editor tool
- Photoroom is a leading AI editor tool that allows business managers to create professional images for free on mobile or desktop.
- Features include background removal, AI background creation, object removal, batch editing, and more.
- Photoroom's advanced AI capabilities make it twice as accurate as other editing applications.
- Photoroom offers a free plan and a Pro plan priced at $89.99 per year with additional features and team collaboration options.
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5 Likes
Medium
14h
3
Image Credit: Medium
AI and Humans Should Co-Exist?
- The rapid growth of AI is reshaping economic, societal, cultural, and human environments.
- AI is becoming a part of our everyday lives, with various applications and advancements.
- AI lacks emotional intelligence and a human touch, but it can be utilized for its strengths.
- Humans possess emotional depth and complexity that sets them apart from machines.
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