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Yotomations

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Yotomations

AI solutions & workflow automations for small businesses. Simplify work, boost growth. 🌐🤖 yotomations.com

Yotomations is a business automation agency helping service-based companies streamline operations, boost productivity, and scale faster using powerful no-code and low-code tools as well as full service software development. We specialize in custom automation solutions using platforms like n8n, GoHighLevel (GHL), and API integrations to eliminate manual tasks, enhance CRM performance, and optimize

client workflows. Whether you're managing leads, onboarding clients, or syncing systems, Yotomations builds tailored, efficient workflows that save time and drive growth. From lead capture to appointment booking, email campaigns to membership renewals, we help marketing agencies, consultants, and associations automate what matters most, without the tech headache. Book a free strategy session today at https://meet.yotomations.com and start automating smarter.

05/30/2026

𝗛𝗲𝗿𝗺𝗲𝘀 𝗔𝗴𝗲𝗻𝘁 𝗦𝗵𝗶𝗽𝘀 𝗧𝗼𝗼𝗹 𝗦𝗲𝗮𝗿𝗰𝗵 𝗳𝗼𝗿 𝗠𝗖𝗣: 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗘𝘃𝗮𝗹𝘀 𝗦𝗵𝗼𝘄 𝟰𝟵% 𝘁𝗼 𝟳𝟰% 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗚𝗮𝗶𝗻 𝗼𝗻 𝗢𝗽𝘂𝘀 𝟰
Nous Research's Hermes Agent adds Tool Search to fix MCP context bloat using BM25 progressive schema disclosure. The post Hermes Agent Ships Tool Search for MCP: Anthropic Evals Show 49% to 74% Accuracy Gain on Opus 4 appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/29/hermes-agent-ships-tool-search-for-mcp-anthropic-evals-show-49-to-74-accuracy-gain-on-opus-4/

05/30/2026

𝗛𝗼𝘄 𝘁𝗼 𝗨𝘀𝗲 𝗔𝗴𝗲𝗻𝘁𝗧𝗿𝗼𝘃𝗲: 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝟭.𝟳𝗠 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗧𝗿𝗮𝗰𝗲𝘀 𝗮𝗻𝗱 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗖𝗹𝗲𝗮𝗻 𝗦𝗵𝗮𝗿𝗲𝗚𝗣𝗧 𝗦𝗙𝗧 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻
AgentTrove is the largest open-source collection of agentic interaction traces, with 1.7M rows in a ShareGPT-style layout. This hands-on Python tutorial shows how to stream the dataset without full downloads, normalize agent turns, extract commands, analyze trajectories, and export successful traces into a clean SFT fine-tuning dataset. The post How to Use AgentTrove: Streaming 1.7M Agentic Traces and Building a Clean ShareGPT SFT Dataset in Python appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/29/how-to-use-agenttrove-streaming-1-7m-agentic-traces-and-building-a-clean-sharegpt-sft-dataset-in-python/

05/30/2026

𝗡𝗩𝗜𝗗𝗜𝗔 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗫-𝗧𝗼𝗸𝗲𝗻: 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗼𝗻-𝗚𝘂𝗶𝗱𝗲𝗱 𝗖𝗿𝗼𝘀𝘀-𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗲𝗿 𝗞𝗗 𝗧𝗵𝗮𝘁 𝗢𝘂𝘁𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝘀 𝗚𝗢𝗟𝗗 𝗯𝘆 +𝟯.𝟴𝟮 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗣𝗼𝗶𝗻𝘁𝘀 𝗼𝗻 𝗟𝗹𝗮𝗺𝗮-𝟯.𝟮-𝟭𝗕
NVIDIA's X-Token fixes two structural failures in GOLD and improves GSM8k accuracy from 2.56 to 15.54 The post NVIDIA Introduces X-Token: Projection-Guided Cross-Tokenizer KD That Outperforms GOLD by +3.82 Average Points on Llama-3.2-1B appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/29/nvidia-introduces-x-token-projection-guided-cross-tokenizer-kd-that-outperforms-gold-by-3-82-average-points-on-llama-3-2-1b/

05/30/2026

𝗦𝘁𝗲𝗽𝗙𝘂𝗻 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝘀 𝗦𝘁𝗲𝗽 𝟯.𝟳 𝗙𝗹𝗮𝘀𝗵: 𝗔 𝟭𝟵𝟴𝗕 𝗠𝗼𝗘 𝗩𝗶𝘀𝗶𝗼𝗻-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀
StepFun releases Step 3.7 Flash, a 198B MoE model with native vision, 256k context, and Advisor Mode. The post StepFun Releases Step 3.7 Flash: A 198B MoE Vision-Language Model for Coding Agents and Search Workflows appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/29/stepfun-releases-step-3-7-flash-a-198b-moe-vision-language-model-for-coding-agents-and-search-workflows/

05/29/2026

𝗠𝗲𝗲𝘁 𝗺𝗞𝗲𝗿𝗻𝗲𝗹: 𝗔 𝗠𝘂𝗹𝘁𝗶-𝗚𝗣𝗨, 𝗠𝘂𝗹𝘁𝗶-𝗡𝗼𝗱𝗲 𝗙𝘂𝘀𝗲𝗱 𝗞𝗲𝗿𝗻𝗲𝗹 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 𝗳𝗼𝗿 𝗚𝗣𝗨-𝗗𝗿𝗶𝘃𝗲𝗻 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻
UC Berkeley's UCCL team releases mKernel, fusing intra-node NVLink, inter-node RDMA, and dense compute into a single persistent CUDA kernel. The post Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/29/meet-mkernel-a-multi-gpu-multi-node-fused-kernel-library-for-gpu-driven-communication/

05/29/2026

𝗛𝗲𝘅𝗼 𝗟𝗮𝗯𝘀 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲𝘀 𝗦𝗜𝗔: 𝗔 𝗦𝗲𝗹𝗳-𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 𝗧𝗵𝗮𝘁 𝗨𝗽𝗱𝗮𝘁𝗲𝘀 𝗕𝗼𝘁𝗵 𝘁𝗵𝗲 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗠𝗼𝗱𝗲𝗹 𝗪𝗲𝗶𝗴𝗵𝘁𝘀
Hexo Labs released SIA, an open-source self-improving loop, under an MIT license. A Feedback-Agent reads each run's trajectory, then either rewrites the scaffold or triggers a LoRA weight update on gpt-oss-120b. Combining both levers beat scaffold-only iteration on LawBench, TriMul GPU kernels, and scRNA-seq denoising. The post Hexo Labs Open-Sources SIA: A Self-Improving Agent That Updates Both the Harness and the Model Weights appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/29/hexo-labs-open-sources-sia-a-self-improving-agent-that-updates-both-the-harness-and-the-model-weights/

05/29/2026

𝗛𝗼𝘄 𝘁𝗼 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝗯 𝘄𝗶𝘁𝗵 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸𝘀, 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝗶𝗲𝘀, 𝗥𝗼𝗹𝗲𝘀, 𝗩𝗮𝘂𝗹𝘁, 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆, 𝗮𝗻𝗱 𝗖𝘂𝘀𝘁𝗼𝗺 𝗠𝗼𝗱𝘂𝗹𝗲𝘀
In this tutorial, we build a complete Ansible lab that runs end-to-end in Google Colab or any Linux environment. We start by installing ansible-core, setting up a local workspace, creating an Ansible configuration file, and defining both static and dynamic inventories. We then explore key Ansible concepts, including group variables, host variables, variable precedence, ad […] The post How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/28/how-to-design-an-end-to-end-ansible-automation-lab-with-playbooks-inventories-roles-vault-dynamic-inventory-and-custom-modules/

05/29/2026

𝗟𝗶𝗾𝘂𝗶𝗱 𝗔𝗜 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝘀 𝗟𝗙𝗠𝟮.𝟱-𝟴𝗕-𝗔𝟭𝗕: 𝗔𝗻 𝗢𝗻-𝗗𝗲𝘃𝗶𝗰𝗲 𝗠𝗼𝗘 𝗠𝗼𝗱𝗲𝗹 𝗪𝗶𝘁𝗵 𝟴.𝟯𝗕 𝗧𝗼𝘁𝗮𝗹 𝗮𝗻𝗱 𝟭.𝟱𝗕 𝗔𝗰𝘁𝗶𝘃𝗲 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀
Liquid AI's LFM2.5-8B-A1B activates 1.5B of 8.3B parameters, offering 128K context, reasoning, and tool calling on consumer hardware. The post Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters appeared first on MarkTechPost.
https://www.marktechpost.com/2026/05/28/liquid-ai-releases-lfm2-5-8b-a1b-an-on-device-moe-model-with-8-3b-total-and-1-5b-active-parameters/

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Monday	9am - 6pm
Tuesday	9am - 6pm
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Thursday	9am - 6pm
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