<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AshpaTech Blog</title><description>Master AI through hands-on learning, discover the latest AI developments, and build AI-powered solutions for your business.</description><link>https://ashpatech.com/</link><item><title>Best AI Model for Your Job (October 2026): Evidence-Based Shortlists</title><link>https://ashpatech.com/blog/best-ai-model-for-your-job-october-2026-evidence-based-shortlists/</link><guid isPermaLink="true">https://ashpatech.com/blog/best-ai-model-for-your-job-october-2026-evidence-based-shortlists/</guid><description>The announcement lists Grok 4.3 as the top model for everyday writing, copywriting, creative writing, and data extraction.</description><pubDate>Mon, 12 Oct 2026 09:37:28 GMT</pubDate><category>AI Research</category><category>ai models</category><category>benchmarks</category><category>llm</category><category>artificial intelligence</category></item><item><title>LLM Benchmarks 2026: MMLU, GPQA, SWE-Bench &amp; Arena Compared</title><link>https://ashpatech.com/blog/llm-benchmarks-2026-mmlu-gpqa-swe-bench-arena-compared/</link><guid isPermaLink="true">https://ashpatech.com/blog/llm-benchmarks-2026-mmlu-gpqa-swe-bench-arena-compared/</guid><description>An analysis of 2026 LLM benchmarks, covering saturation, contamination, custom evaluations, and model routing.</description><pubDate>Sun, 11 Oct 2026 13:40:53 GMT</pubDate><category>AI Research</category><category>llm benchmarks</category><category>ai evaluation</category><category>swe-bench</category><category>mmlu</category><category>model routing</category></item><item><title>LLM analytics benchmark: the best model for your analytics agent</title><link>https://ashpatech.com/blog/llm-analytics-benchmark-the-best-model-for-your-analytics-agent/</link><guid isPermaLink="true">https://ashpatech.com/blog/llm-analytics-benchmark-the-best-model-for-your-analytics-agent/</guid><description>Cassis announces a repeatable benchmark comparing answer quality, consistency, and cost across language models for analytics agents.</description><pubDate>Sun, 11 Oct 2026 13:40:00 GMT</pubDate><category>AI Research</category><category>llm</category><category>benchmark</category><category>analytics</category><category>agent</category><category>sql</category></item><item><title>What is Overfitting in Machine Learning?</title><link>https://ashpatech.com/blog/what-is-overfitting-in-machine-learning/</link><guid isPermaLink="true">https://ashpatech.com/blog/what-is-overfitting-in-machine-learning/</guid><description>Learn what overfitting means in machine learning, how it affects model predictions, and how to detect it using generalization curves.</description><pubDate>Sun, 11 Oct 2026 10:46:41 GMT</pubDate><category>Machine Learning</category><category>machine learning</category><category>overfitting</category><category>generalization</category><category>training</category></item><item><title>Amazon Bedrock and Strands Updates for September 2026</title><link>https://ashpatech.com/blog/amazon-bedrock-and-strands-updates-for-september-2026/</link><guid isPermaLink="true">https://ashpatech.com/blog/amazon-bedrock-and-strands-updates-for-september-2026/</guid><description>A recap of Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates released in September 2026.</description><pubDate>Sun, 11 Oct 2026 10:46:27 GMT</pubDate><category>AI Tools</category><category>aws</category><category>amazon bedrock</category><category>ai agents</category><category>artificial intelligence</category></item><item><title>What is an AI agent, and how is it different from a workflow?</title><link>https://ashpatech.com/blog/what-is-an-ai-agent-and-how-is-it-different-from-a-workflow/</link><guid isPermaLink="true">https://ashpatech.com/blog/what-is-an-ai-agent-and-how-is-it-different-from-a-workflow/</guid><description>Anthropic defines workflows as systems where models follow predetermined code paths, whereas agents dynamically guide their own processes.</description><pubDate>Sun, 11 Oct 2026 10:43:39 GMT</pubDate><category>AI Agents</category><category>ai agents</category><category>llm workflows</category><category>orchestration</category><category>prompt chaining</category></item><item><title>What Is Retrieval-Augmented Generation (RAG)</title><link>https://ashpatech.com/blog/what-is-retrieval-augmented-generation-rag/</link><guid isPermaLink="true">https://ashpatech.com/blog/what-is-retrieval-augmented-generation-rag/</guid><description>Retrieval-augmented generation combines parametric sequence-to-sequence models with non-parametric retrieval memory for language generation.</description><pubDate>Sun, 11 Oct 2026 10:37:03 GMT</pubDate><category>Machine Learning</category><category>retrieval-augmented generation</category><category>natural language processing</category><category>machine learning</category><category>language models</category></item></channel></rss>