Deepak K

Deepak Kumar is a Project Manager at ScholarEase and Editor for AIML Insights. He writes and edits content on AI, machine learning, data science, statistical analysis, data engineering, and practical technology workflows.

Google Agent2Agent Protocol: How A2A Connects AI Agents

AI News, Blog /
Google Agent2Agent protocol connecting interoperable AI agents across platforms

Google marked the first anniversary of the Agent2Agent protocol on June 18, 2026, arguing that AI agents need a shared communication layer if they are to collaborate across companies, frameworks, and software platforms. The Google Agent2Agent protocol, commonly called A2A, is designed for independently deployed agents that can hold conversations, delegate work, return artifacts, request […]

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5 Viral ChatGPT Traditional Couple Photo Prompts, Couple Love Photo

Girls Prompts, Blog /
Collage of five ChatGPT traditional couple photo prompts featuring haveli, temple, garden, village and lakeside portraits

Traditional couple portraits can look beautiful in AI, but they are also surprisingly easy to get wrong. The outfits may look perfect while the hands merge together. A romantic pose may become stiff. Jewelry can appear duplicated, and a heavily decorated palace or wedding background can distract from the couple completely. While refining these ChatGPT

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Agentic Coding Benchmark Tests Real Software Tool Use

AI News, Blog /
Agentic coding benchmark measuring tool use time tokens errors and task completion

 Hugging Face published a new agentic coding benchmark on June 18, 2026, designed to measure how effectively AI agents use real software—not merely whether they eventually produce the expected answer. The benchmark uses the Transformers library as its first case study. Open models are asked to complete practical machine-learning tasks such as sentiment classification, image

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LoRA Alternatives PEFT Benchmark: Which Methods Perform Better?

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LoRA alternatives PEFT methods compared by accuracy memory and inference overhead

 Hugging Face published a new parameter-efficient fine-tuning comparison on June 18, 2026, challenging the assumption that LoRA should be the automatic choice for every model-adaptation task. LoRA remains overwhelmingly dominant. In Hugging Face’s sample of 20,834 model cards mentioning one PEFT technique, 98.4% referenced LoRA. A separate GitHub-code sample also found LoRA in 71.3% of

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GPT-5.5 Health Intelligence: What OpenAI’s Evaluations Show

AI News, Blog /
GPT-5.5 health intelligence supporting patient education with clinician oversight

OpenAI published a new assessment of GPT-5.5 health intelligence on June 18, 2026, describing improvements in how ChatGPT handles health and wellness questions. The company says GPT-5.5 Instant is more likely to notice warning signs, request important missing information, communicate uncertainty, and explain complex medical topics clearly. OpenAI also reports stronger results on its HealthBench

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OpenAI Patch the Planet: How AI Will Secure Open Source

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OpenAI Patch the Planet workflow for validating and fixing open-source vulnerabilities

OpenAI introduced Patch the Planet on June 22, 2026, partnering with Trail of Bits to help maintainers secure critical open-source software. The initiative combines AI-assisted vulnerability research with human security review. Its goal is not merely to identify suspicious code. Engineers reproduce findings, remove duplicates, reassess severity, write and test patches, and work with maintainers

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Samsung ChatGPT Enterprise Rollout: Strategy, Risks and ROI

AI News, Blog /
Samsung ChatGPT Enterprise and Codex deployment across global business teams

Samsung Electronics is deploying ChatGPT Enterprise and Codex across a large part of its global workforce, OpenAI announced on June 21, 2026. Access will extend to all Samsung Electronics employees in South Korea and all employees worldwide in the company’s Device eXperience division, which covers major consumer businesses such as mobile devices, televisions and home

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PP-OCRv6 Explained: 50-Language OCR From 1.5M Parameters

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PP-OCRv6 multilingual OCR models for edge mobile and server document processing

PaddleOCR released PP-OCRv6 as part of version 3.7.0 on June 11, 2026, introducing three lightweight model tiers for multilingual text detection and recognition. The family ranges from a 1.5-million-parameter tiny model to a 34.5-million-parameter medium model, with deployment paths spanning PaddlePaddle, Hugging Face Transformers, ONNX Runtime, CPUs, mobile devices, and servers. The release matters because

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LFM2.5 Embedding 350M: Liquid AI’s New Retrieval Models Explained

AI News, Blog /
: LFM2.5 Embedding 350M and ColBERT multilingual retrieval models compared

 Liquid AI released two compact retrieval models on June 18, 2026, giving developers a choice between fast dense embeddings and more precise token-level retrieval. LFM2.5 Embedding 350M converts each document into one vector, making it suitable for low-cost semantic search and large indexes. Its companion, LFM2.5-ColBERT-350M, preserves a separate representation for each token and uses

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Google ADK A2A Tutorial: Connect Python and Go AI Agents

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Google ADK A2A tutorials: Google ADK A2A workflow connecting Python contract extraction with Go policy validation

Google published a practical cross-language agent tutorial on June 22, 2026, showing how a Python service and a Go service can participate in one contract-compliance workflow through the Agent2Agent protocol. The architecture solves a common enterprise problem. A data or AI team may build document processing in Python, while a platform or security team maintains

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