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The article explores the art of designing roads in video games, highlighting the importance of creating realistic and visually appealing road systems that enhance the overall gaming experience. It discusses various techniques and considerations developers employ to craft convincing road networks that seamlessly integrate with the game world.

The article discusses the discovery of malware hidden in Google search results, highlighting the ongoing threat of malicious actors exploiting popular online platforms to distribute harmful software to unsuspecting users.

The article discusses the concept of adversarial reasoning, which involves understanding and anticipating the behavior and decision-making processes of adversaries in order to gain strategic advantages. It explores how this approach can be applied in various domains, including cybersecurity, military strategy, and business decision-making.

The article discusses the creation of a Cistercian font, a specialized font based on the handwritten script used by Cistercian monks in the Middle Ages. The font is designed to faithfully recreate the distinctive characters and layout of the original Cistercian manuscripts.

The article discusses Taiwan Semiconductor Manufacturing Company's (TSMC) plan to build a new $7 billion chip factory in Japan, highlighting the company's efforts to expand global production and address the worldwide semiconductor shortage.

The article discusses the ongoing conflict between Russia and Ukraine, focusing on the recent deployment of Russian troops near the Ukrainian border and the potential for further escalation. It examines the geopolitical tensions and the international community's response to the situation.

The article reports that members of the U.S. military have been pressured to watch a documentary about former First Lady Melania Trump, which has raised concerns from the Military Religious Freedom Foundation about potential religious coercion within the military.

A day before Jeffrey Epstein's death, a statement was released claiming that he had sustained injuries to his neck, raising questions about the circumstances surrounding his death. The statement came from a lawyer representing a woman who alleged she was sexually abused by Epstein.

The article explores calls for increased accountability and oversight of U.S. Immigration and Customs Enforcement (ICE) and Customs and Border Protection (CBP) regarding allegations of human rights abuses, lack of transparency, and insufficient oversight mechanisms.

The article argues that tenure, a system that grants permanent employment to professors, is a flawed and outdated practice that does not serve the best interests of students or the academic community. It suggests that tenure should be reconsidered or replaced with alternative models that prioritize merit, accountability, and responsiveness to the evolving needs of higher education.

Heat pumps are becoming increasingly popular in the United States as a more energy-efficient alternative to traditional heating and cooling systems, but high electricity prices may hinder their widespread adoption, as the article discusses.

Hello everyone,

I have always loved coding and in the couple I was thinking of making an open source project and it turned out to be awesome I hope you guys like it.

I present Explore Singapore which I created as an open-source intelligence engine to execute retrieval-augmented generation (RAG) on Singapore's public policy documents and legal statutes and historical archives.

The objective required building a domain-specific search engine which enables LLM systems to decrease errors by using government documents as their exclusive information source.

What my Project does :- basically it provides legal information faster and reliable(due to RAG) without going through long PDFs of goverment websites and helps travellers get insights faster about Singapore.

Target Audience:- Python developers who keep hearing about "RAG" and AI agents but haven't build one yet or building one and are stuck somewhere also Singaporean people(obviously!)

Comparison:- RAW LLM vs RAG based LLM to test the rag implementation i compared output of my logic code against the standard(gemini/Arcee AI/groq) and custom system instructions with rag(gemini/Arcee AI/groq) results were shocking query:- "can I fly in a drone in public park" standard llm response :- ""gave generic advice about "checking local laws" and safety guidelines"" Customized llm with RAG :- ""cited the air navigation act,specified the 5km no fly zones,and linked to the CAAS permit page"" the difference was clear and it was sure that the ai was not hallucinating.

Ingestion:- I have the RAG Architecture about 594 PDFs about Singaporian laws and acts which rougly contains 33000 pages.

How did I do it :- I used google Collab to build vector database and metadata which nearly took me 1 hour to do so ie convert PDFs to vectors.

How accurate is it:- It's still in development phase but still it provides near accurate information as it contains multi query retrieval ie if a user asks ("ease of doing business in Singapore") the logic would break the keywords "ease", "business", "Singapore" and provide the required documents from the PDFs with the page number also it's a little hard to explain but you can check it on my webpage.Its not perfect but hey i am still learning.

The Tech Stack: Ingestion: Python scripts using PyPDF2 to parse various PDF formats. Embeddings: Hugging Face BGE-M3(1024 dimensions) Vector Database: FAISS for similarity search. Orchestration: LangChain. Backend: Flask Frontend: React and Framer.

The RAG Pipeline operates through the following process: Chunking: The source text is divided into chunks of 150 with an overlap of 50 tokens to maintain context across boundaries. Retrieval: When a user asks a question (e.g., "What is the policy on HDB grants?"), the system queries the vector database for the top k chunks (k=1). Synthesis: The system adds these chunks to the prompt of LLMs which produces the final response that includes citation information. Why did I say llms :- because I wanted the system to be as non crashable as possible so I am using gemini as my primary llm to provide responses but if it fails to do so due to api requests or any other reasons the backup model(Arcee AI trinity large) can handle the requests.

Don't worry :- I have implemented different system instructions for different models so that result is a good quality product.

Current Challenges: I am working on optimizing the the ranking strategy of the RAG architecture. I would value insights from anyone who has encountered RAG returning unrelevant documents.

Feedbacks are the backbone of improving a platform so they are most

Repository:- https://github.com/adityaprasad-sudo/Explore-Singapore

The article discusses a project called 'isHumanCadence' which explores the idea of using a computer program to determine if a person's typing cadence is human or machine-generated. It explores the technical details and potential applications of this approach.

This article discusses the proliferation of AI-generated fake news pages on Facebook that are targeting New Zealand audiences. These pages spread misinformation and propaganda by using AI technology to quickly produce large volumes of fabricated content.

The article discusses the controversy surrounding Bad Bunny's Spanish-language halftime show performance at the Super Bowl, and argues that the backlash is overblown, as the show celebrated Latin culture and highlighted the growing diversity of the event.

The article discusses the connections between several prominent tech CEOs, including Elon Musk, Bill Gates, and Mark Zuckerberg, and the late financier Jeffrey Epstein. It examines the extent of these relationships and the potential implications for the tech industry.

The article discusses Iran's launch of a new satellite, Khayyam, into orbit, which has sparked concerns from the United States about the potential use of the satellite for surveillance and military purposes. The launch is seen as a significant technological achievement for Iran's space program.

The article discusses the concept of a 'Web of Trust' and its role in building a decentralized ecosystem. It examines how this model can foster trust, transparency, and collaboration among participants in a distributed network, potentially addressing challenges faced by centralized platforms.

The article explores the influential ideas of philosopher Karl Popper, particularly his 'Popper Principle' which emphasizes the importance of being able to refute or disprove a theory in order for it to be considered scientific. It examines how this principle has shaped scientific thought and discourse over the past century.

A FAMU College of Law student claims they were banned from attending a Black History Month event due to their race, sparking controversy over discrimination and free speech issues on college campuses.