Advanced Indexing Techniques in RAG Systems: Beyond Basic Chunking
Chunkinglets an LLM devour text without gagging—keep the meaning intact to sidestep lost semantics, token limits, or those nasty sentence jags... read more
Updates and recent posts about Gemini 3.. Link
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Build your code-first agent with Azure AI Foundry: Self-Guided Workshop
Agentic AIbreathes life into apps, giving them the brains to think and decide; dive into Azure AI Foundry's workshop to craft somemean AI agentswith Azure's toolkit... read more
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OpenAI risks being undercut by cheaper rivals, says star investor Mary Meeker
Mary Meekersounds the alarm: US AI giants likeOpenAIare up against scrappy rivals, including China’s budget villain,DeepSeek. A price war might be brewing. As AI expenses shoot through the roof, the economic scene is wobbling, like “commodity businesses with venture-scale burn.”.. read more
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LLMs can read, but can they understand Wall Street? Benchmarking their financial IQ
LLMs crush traditional NLP tools in financial sentiment analysis, scoring 82% accuracy in the Copilot App. But they trip over consistent API integration.Curiously,LLMs can pinpoint sentiment by business line, sometimes predicting stock movements more accurately than overall assessments.What shakes e.. read more
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Tired of Broken Chatbots? This AI Upgrade Fixes Everything
Function callingis the AI's secret weapon. It transforms requests into sharp API interactions with enviable ease. Picture a bot that doesn't just muse about the weather but tosses you real-time data like a pro. It shatters old limits where exact API calls were a headache and context got fumbled. Now.. read more
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Prompt Injection Attacks: A Growing Concern in AI Security
Prompt injection attackshijack AI models, turning them into loose-lipped gossips or megaphones for propaganda. To rein them in? Validation and monitoring. The digital watchdogs we never knew we needed... read more
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An LLM For The Raspberry Pi
Phi4-mini-reasoningcrams 3.8 billion parameters into a trim 3.2GB package, turning your Raspberry Pi 5 into a leisurely LLM snail... read more
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OpenAI Just Changed the Game: How Reinforcement Fine-Tuning Makes AI Learn Like a Pro
OpenAI's Reinforcement Fine-Tuninglets AI tackle tasks with mere handfuls of examples, leaving bulky models in the dust when it comes to niche expertise. Here, AI gains brainpower—like reasoning, not just parroting—reshaping our approach to building top-notch AI without needing Google’s mountain of .. read more
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LiteLLM: An open-source gateway for unified LLM access
LiteLLMswoops in to save the day, merging over100 LLM APIsinto one sleek interface. Think of it as the "universal remote" for your LLM chaos... read more
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An Overview of Multimodal Autonomous LLM Agents
Multimodal AI agentstank at complex tasks, winning a pathetic14% success rate. They're tripped up by messy HTML and fickle JavaScript pages. Researchers, already neck-deep in frustrations, wieldtree-search algorithmsandsynthetic datasetsto sharpen their decision-making and resilience as they navigat.. read more
At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.
Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.
Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.
