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.

LoRA Alternatives PEFT Benchmark: Which Methods Perform Better?

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LoRA alternatives PEFT methods compared by accuracy memory and inference overhead

LoRA Is the Most Popular Fine-Tuning Method—but Not Always the Best 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 […]

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

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GPT-5.5 health intelligence supporting patient education with clinician oversight

GPT-5.5 Instant Is Better at Health Questions—but It Is Not a Doctor 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

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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’s Patch the Planet Turns AI Bug Reports Into Real Fixes 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

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Samsung ChatGPT Enterprise Rollout: Strategy, Risks and ROI

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Samsung ChatGPT Enterprise and Codex deployment across global business teams

Samsung Is Bringing ChatGPT and Codex to Employees Worldwide 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

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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

PP-OCRv6 Brings 50-Language OCR to Models Small Enough for Phones 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

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

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: LFM2.5 Embedding 350M and ColBERT multilingual retrieval models compared

Liquid AI’s 350M Models Bring Multilingual Search to Laptops 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,

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OpenAI Daybreak: GPT-5.5-Cyber Security Stack Explained

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OpenAI AI security stack: gpt-5-5-cyber-trusted-access-levels

OpenAI’s  AI Security Stack Can Find Bugs and Help Patch Them OpenAI expanded Daybreak, its AI cybersecurity initiative, on June 22, 2026, introducing a more capable version of GPT-5.5-Cyber and a broader workflow for finding, validating, prioritizing, and fixing software vulnerabilities. The announcement matters because security teams already face more alerts than they can investigate.

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GLM-5.2 Explained: China’s New Open AI Model vs Claude

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GLM-5.2 AI model compared with Claude for coding and agentic AI workflows

China’s New GLM-5.2 AI Model Is Putting Pressure on Claude The GLM-5.2 AI model has entered the global AI race with a combination that developers are paying close attention to: open weights, a huge context window, strong coding abilities and API prices below premium Claude models. Developed by Chinese AI company Z.ai, formerly known internationally

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