Tool Use Pattern Imagine the tool use agent as a person, with the LLM as its brain and a set of tools as its hands to take actions. By querying databases, calling APIs, and executing Python scripts, the LLM moves beyond relying solely on its internal knowledge.
@akshay_pachaar
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Reflection Pattern: AI Self-Critique and Iterative Refinement Cycle
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Reflection Pattern In this pattern, the AI “reviews” its own work—spotting mistakes and iterating until the final outcome is polished. Think of it like a self-critique cycle where the model refines each draft before presenting the result!
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Popular Design Patterns for Building AI Agents
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Agents allow a LLMs to repeatedly refine their output by incorporating self-evaluation, planning, and collaboration! Today, we'll understand some popular design patterns employed in building with AI agents. Let's go!
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Top 5 Agentic AI Design Patterns Clearly Explained
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Top 5 Agentic AI design patterns, clearly explained (with visuals):
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Understanding Mixture of Experts Architecture and FFN Weights
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Based on how MoEs work, I believe this is possible. Each expert is like a FFN with it's own weights.
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Try All State-of-the-Art LLMs Free for One Month
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Try all SOTA LLMs in one place – DeepSeekV3
– o1/GPT-4o
– Sonnet 3.5
– Gemini Flash 2.0 FREE for a month: -

Understanding Mixture of Experts: How AI Models Work Together
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DeepSeekV3, Gemini, Mixtral and many others are all Mixture of Experts (MoEs). But what exactly are MoEs? A Mixture of Experts (MoE) is a machine learning framework that resembles a team of specialists, each adept at handling different aspects of a complex task. It's like
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TLM Tool Reduces Hallucinations in Language Models
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I found a tool to reduce hallucinations in any LLM! TLM (trustworthy language model) is a simple, plug-and-play solution that curbs hallucinations, crucial because LLMs lose real-world value if you can’t trust their outputs. It was tested on OpenAI’s SimpleQA dataset (4,000+
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Working with RAGs and Agents for Enjoyment
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RAGs and agents, as long as i enjoy working with them. 🙂
