conclusion Several major conclusions emerge from this test case. Two models drawn from a curated database of experimental literature, NotebookLM and our custom-built tool, outperformed LLM trained on unfiltered Internet …
Tag:
LLM
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Image by author # Introduction For an LLM engineer, the ecosystem of tools and libraries may seem overwhelming at first. But getting comfortable with the right set of Python libraries …
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Large language models (LLMs) are the world’s best imitators, but when it comes to the cold, hard logic of updating beliefs based on new evidence, they are surprisingly stubborn. A …
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Machine Learning
Building a custom model provider for Strands agents with LLM hosted on a SageMaker AI endpoint
Organizations are increasingly deploying custom large language models (LLMs) on Amazon SageMaker AI real-time endpoints using their preferred serving framework – such as SGLang, VLLM, or TorchServe – to help …
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Image by editor # Introduction rise of large language model (LLM) like GPT-4, llamaAnd cloud Artificial intelligence has changed the world. These models can write code, answer questions, and summarize …
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AI News
A coding implementation to build a hierarchical planner AI agent using open-source LLM with tool execution and structured multi-agent reasoning
def executor_agent(step: Dict(str, Any), context: Dict(str, Any)) -> StepResult: step_id = int(step.get(“id”, 0)) title = step.get(“title”, f”Step {step_id}”) tool = step.get(“tool”, “llm”) ctx_compact = { “goal”: context.get(“goal”), “assumptions”: context.get(“assumptions”, ()), …
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Generative AI
A new Google AI research proposes deep-thinking ratio to improve LLM accuracy, while halving the total inference cost
For the past few years, the AI ​​world has followed a simple rule: If you want a big language model (LLM) to solve a hard problem, build it. Chain of …
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Generative AI
6 Essential Accelerated Engineering Techniques: How to Get 10× Better Results from a Same LLM
Last updated on February 21, 2026 by Editorial Team Author(s): Tanveer Mustafa Originally published on Towards AI. Understanding Zero-Shot, Few-Shot, Chain-of-Thought, Self-Consistency, Tree of Thoughts, and React You ask an …
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Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini “Reference Window” Economy In the world of large language models (LLM), attention is a finite currency. While the …
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