Tag: LLMs
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From Static Scripts to Smart Agents: A New Era in Financial Analysis
Static financial scripts create bottlenecks that can’t keep pace with the market. This post demonstrates a more powerful approach: building an AI agent that understands natural language. It details a method to transform rigid code into a dynamic analytical engine that generates practical, interactive dashboards from simple, conversational commands.
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From Manual Coding to Conversational AI: How ‘Vibe Coding’ Is Reshaping Software Creation
This post explores ‘vibe coding’ where AI transforms natural language descriptions into functional code. It examines its key benefits, its current challenges, and its impact on the future of programming.
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Top Weekly AI News – May 09, 2025
AI Weekly (May 09, 2025): The Trump administration plans to scrap Biden’s AI chip export controls. OpenAI’s reported $3B acquisition of Windsurf aims to bolster its AI coding capabilities. US AI executives urged Congress on policies to compete with China. OpenAI’s for-profit arm is becoming a Public Benefit Corporation. Anthropic launched web search on its…
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Top Weekly AI News – May 02, 2025
AI Weekly (May 02, 2025): Nvidia and Anthropic clashed over AI chip restrictions for China. A judge’s decision on Google could disrupt the AI race. Big Tech’s fortunes diverged with AI cloud growth and consumer electronics struggles. Orchestration was highlighted as key AI infrastructure. The Stanford AI Index revealed business insights. Human rights in AI…
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Top Weekly AI News – April 25, 2025
AI Weekly (April 25, 2025): Famed AI researcher launches controversial full-automation startup Mechanize. Anthropic CEO commits to AI transparency by 2027. Amazon and Nvidia report sustained AI data center growth. Google quantifies AI productivity gains. Artists explore human-AI reciprocal relationships. Nvidia releases NeMo enterprise AI agent tools. Ghana and Rwanda provide AI policy blueprints for…
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Top Weekly AI News – March 28, 2025
AI Weekly (March 28, 2025): Bill Gates predicts AI will revolutionize human work within a decade, promising “free intelligence” across medicine and education. Google unveils Gemini 2.5 Pro Experimental, a “thinking model” with advanced reasoning capabilities. Microsoft introduces reasoning agents Researcher and Analyst in Microsoft 365 Copilot. Data centers at OpenAI and Google experience infrastructure…
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Comparing Retrieval-Augmented Generation (RAG) and Fine-tuning: Advantages and Limitations
Analyzing Retrieval-Augmented Generation and fine-tuning in AI, this blog post examines their distinct advantages and challenges. Comparing these methods helps identify the ideal approach for specific project needs and objectives.
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Harnessing LLMs for Financial Visualization: An Experiment with Claude
This post explores using Large Language Models (LLMs) for visual input in coding. We demonstrate this with Claude generating Python code for a financial chart.
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