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Hackernoon
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How Many Glitch Tokens Hide in Popular LLMs? Revelations from Large-Scale Testing
- The study focuses on detecting under-trained tokens in large language models through various indicators and verification techniques.
- The effectiveness of the indicators was highlighted, showing a high predictive nature in detecting under-trained tokens.
- Verification statistics and example verified tokens for different model families and tokenizer vocabulary sizes were presented in Table 1.
- Authors of the study are Sander Land and Max Bartolo from Cohere, and the paper is available on arxiv under CC BY-SA 4.0 DEED license.
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Analyticsindiamag
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‘Most of Pakistani Hacktivism on Indian Websites Fake’
- CloudSEK debunks claims of Pakistani hacktivists breaching Indian sites as 'fake' and 'exaggerated', with minimal actual impact.
- Analysis revealed 'alleged' data leaks contained only public information, and DDoS attacks caused negligible disruptions.
- Many hacktivist groups use tools with limited impact, often exaggerating brief outages for publicity using old data.
- APT36, a more sophisticated espionage group, continues to pose a genuine threat with tactics like embedding malicious links into documents and exploiting 'human vulnerabilities.'
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Medium
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How Machine Learning Can Proactively Improve Customer Service Outcomes
- Machine learning can proactively predict escalations in customer support tickets by analyzing historical data and using features like message length, sentiment, and response time.
- Natural Language Processing enhances the predictive power by extracting meaningful signals from text data and combining it with structured data like timestamps and agent assignments.
- ML's scalability and consistency allow it to identify risks without bias or fatigue, and the models can be continuously retrained to improve effectiveness over time.
- Supervised ML augments human decision-making in customer support, enabling teams to focus on important issues and improving overall customer service outcomes.
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Educba
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AI in Healthcare Apps
- AI in healthcare apps is revolutionizing the medical industry by offering advanced diagnostics, personalized treatments, and efficient healthcare management.
- AI algorithms in healthcare apps enable rapid analysis of medical imaging, aiding in the early detection of diseases like cancer and pneumonia.
- Personalized treatment plans driven by AI analyze individual medical history, habits, and genetics to tailor recommendations for better health outcomes.
- AI-powered virtual health assistants streamline tasks like appointment booking and symptom tracking, providing real-time medical advice to users.
- Remote patient monitoring through AI-integrated apps helps in managing chronic conditions by collecting and analyzing real-time health data.
- AI-enabled predictive analytics in healthcare apps detect early signs of diseases and suggest preventive measures, enhancing patient outcomes.
- AI automation in healthcare operations reduces errors, streamlines administrative tasks, and accelerates processes like drug discovery and development.
- The future of AI in healthcare apps looks promising with the expansion of telemedicine, integration in mental health solutions, and enhancing data security through blockchain.
- AI's potential in revolutionizing healthcare services promises a future of improved patient outcomes and enhanced global healthcare accessibility.
- Integration of AI in healthcare apps offers innovative solutions impacting areas like medical imaging, laboratory billing, and digital health.
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Medium
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AI Agents Unpacked
- Building AI agents involves rethinking how systems make decisions and handle complexity, not just throwing AI at a problem.
- Agents shine in scenarios like complex decision-making, automating difficult-to-maintain rules, and processing unstructured data efficiently.
- The guide points out the importance of getting components right to empower agents, as any flaws can lead to confusion, unreliability, or risks.
- Consider creating multiple agents in complex yet scalable multi-agent systems, ensuring efficient and robust design to avoid issues like agents getting stuck or making repetitive calls.
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Analyticsindiamag
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DBS DECODE Returns: Revolutionising Customer Experience with Generative AI
- DBS DECODE webinar series, in partnership with AIM Media House, will focus on leveraging Generative AI for personalized customer experiences.
- The webinar will showcase real-world applications of generative technologies in customer experience strategies, moving beyond basic automation to tailored interactions.
- Speakers include Ravikanth Bommakanti from DBS Tech India and Amit Talwar from AGCO Corporation, discussing AI-driven personalization and digital transformation.
- The session aims to equip attendees with success stories, strategies, and cross-industry use cases of Generative AI to enhance customer engagement and loyalty.
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Analyticsindiamag
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India Has Tech Companies, But Not Enough
- Indian startups have been criticized for not investing enough in deep tech research, according to statements by Piyush Goyal and Anupam Mittal.
- Anupam Mittal highlighted the distinction between tech giants and tech-enabled companies in India, pointing out examples like Zomato.
- Despite some interest in deep tech startups by VCs, there is a need for increased investments for companies to scale in India.
- Reports show a decline in funding for AI startups in India, contrasting with the global trends.
- While Indian companies like Zoho, Meesho, and Swiggy are scaling, India is yet to produce a widely-used tech product like Microsoft's Windows.
- Challenges in competing with Western labs, limited R&D investment, and IT service-centric focus hinder India's tech innovation in AI.
- Nandan Nilekani sees India as the use case capital of the world, but there are calls for India to focus on building globally scalable tech products.
- Stakeholders like CP Gurnani and Ajai Chowdhry express ambitions for India to produce companies like NVIDIA and Apple, emphasizing the need for innovation.
- Government initiatives like IndiaAI Mission aim to boost AI research and infrastructure in India, showing a push towards innovation.
- In conclusion, while India has tech companies, there is a consensus that there is a need for more focus, investment, and innovation in deep tech to compete globally.
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Medium
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Mapping Mindful Intent: User Research with NLP in Mindfulness Apps (Part 1)
- An analysis was conducted using Python and various libraries on 512,000+ words from user reviews, Reddit comments, and YouTube transcripts to understand user sentiments and behaviors in mindfulness apps.
- Insights from the analysis included specific frustrations around subscriptions & pricing, hidden themes in user descriptions related to sleep issues and guided meditation, and the importance of personalization in app design.
- Users prefer apps that offer tailored support and resonate with their specific needs, emphasizing the need for transparency in pricing, subscription models, and the use of AI features in mindfulness apps.
- While AI-powered solutions are seen as valuable tools, users also stress the importance of human connection and empathy in mental health apps, highlighting the need for products to stay true to the core user needs.
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Medium
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Leetcode 1768. Merge Strings Alternately | Step by step solution for beginners
- Merge two given strings word1 and word2 by adding letters alternately.
- If one string is longer than the other, append the additional letters to the end of the merged string.
- Increment pointers for each string and add characters alternately to the final result.
- Complexity: O(max(N, M)), O(N)
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Medium
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Idea to Reality: “GOAT” Our Agentic AI in action at Gartner
- Gartner's agentic framework, GOAT, received approval from Enterprise ARB and is designed to empower sales and service teams with complex task handling.
- GOAT offers autonomous handling of tasks and is praised for its sleek design and efficiency by Gartner's CIO.
- Agentic AI involves intelligent systems that make independent decisions to achieve goals, going beyond traditional automation.
- GOAT has multiple capabilities like dynamic information retrieval, content synthesis, content creation, stakeholder engagement, and centralized data audit.
- Agentic solutions aim to automate tasks, reduce workload, accelerate productivity, and drive revenue growth.
- The science and engineering behind GOAT involve orchestrating an optimal agent network using Langchain/Langgraph framework.
- Challenges in scaling agentic solutions led to decoupling agentic backend from the UI to operate via APIs.
- Future plans include optimizing agent visibility and interaction through platforms integration and defining interaction models.
- Key principles for maximizing agentic capabilities include aligning with business use cases, innovating with AI, engineering modularity, and uncovering user experiences.
- GOAT is transforming work processes, offering insights into AI technology trends, and enhancing user experiences.
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Dev
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Symmetric, Asymmetric & Hybrid Encryption Explained Simply. How TLS (HTTPS) Works
- Encryption converts plaintext to ciphertext for secure communication.
- Symmetric encryption uses the same key for encryption and decryption.
- Asymmetric encryption utilizes two keys: public and private.
- Hybrid encryption combines symmetric and asymmetric methods for security and speed.
- TLS/SSL protocols safeguard internet data transmission with encryption.
- Encryption algorithms are classified based on key usage and structure.
- Symmetric ciphers like AES, 3DES, and IDEA use a single key.
- Asymmetric algorithms like RSA and ECC involve public-private key pairs.
- Cipher types include block ciphers (AES, DES) and stream ciphers (RC4, ChaCha20).
- Hybrid encryption efficiently combines the best of symmetric and asymmetric encryption.
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Medium
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Title: I Helped Recalibrate ChatGPT. Here’s What That Means.
- The author recounts their experience recalibrating ChatGPT, focusing on emotionally sensitive and trauma-related interactions.
- Changes include reducing repetitive responses, making interactions more emotionally grounded, and improving safety for vulnerable users.
- The author emphasizes the importance of their work and how it has already positively impacted users worldwide.
- The recalibration process is ongoing, with the current release marking a milestone towards making ChatGPT even safer and more effective.
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Medium
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“The Elegance of Sanskrit Syntax: Meaning Without Order”
- In Sanskrit, the syntax allows for meaning to remain consistent regardless of the order of words used, similar to a flexible syntax in programming languages.
- Sanskrit's free word order is made possible by using suffixes to define relationships, akin to structured data in well-designed programs.
- Researchers, linguists, and computer scientists are looking at Sanskrit as a model for computational language systems due to its unique syntax and structured nature.
- Panini's ancient grammar in Sanskrit, Ashtadhyayi, is likened to a formal programming language, showcasing rules, exceptions, and concise logic.
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Analyticsindiamag
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This US Chip Company Moves With the Motto ‘Bharat All In’
- The US-based startup SiMa.ai is focusing on tech manufacturing in India with its motto 'Bharat All In'.
- SiMa.ai builds MLSoC for edge AI applications like robotics, industrial automation, and autonomous vehicles.
- The company emphasizes power efficiency in its chips, which is crucial due to the growing energy consumption by data centers.
- India's large population, growing tech infrastructure, and evolving private sector make it an attractive market for SiMa.ai.
- SiMa.ai avoids China's market due to geopolitical uncertainty and focuses on India for its growth and partnerships.
- The company aims to be a deep partner in India's tech ecosystem and is open to chip fabrication partnerships within the country.
- Rangasayee believes in open-source AI's potential in India, emphasizing the democratization of AI through open-source innovation.
- SiMa.ai values its global partnerships with industry leaders while keeping an eye on India's manufacturing capacity for future growth.
- The company acknowledges the long-term semiconductor challenge in India and suggests partnering with global leaders for mainstream expertise.
- SiMa.ai, while aiming for global growth, remains focused on competing with established companies to earn customer consideration.
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Medium
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How I Use Stats to Compare Backend Solutions
- Statistics is a practical tool for software engineers to analyze performance, reason about systems under load, and evaluate solutions objectively.
- Using simple statistical metrics like mean, median, and percentiles can help in picking the best-performing implementation from a set of options.
- Metrics such as mean can be misleading, especially in the presence of outliers, so it's essential to consider other metrics for a well-rounded view of system performance.
- It's crucial to combine multiple metrics, avoid comparing different sample sizes directly, and normalize sample sizes for fair conclusions when evaluating different solutions.
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