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 Summarization is not reasoning: How hybrid AI fixes failing AIOps
Summarization is not reasoning: How hybrid AI fixes failing AIOps

Agentic AI will transform IT operations, but only if the right foundation is in place.

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venturebeat
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and wh

<p><a href="https://www.microsoft.com/en-us">Microsoft</a> on Tuesday released <a href="https://www.microsoft.com/en-us/research/blog/phi-4-reasoning-vision-and-the [...]

Match Score: 163.37

venturebeat
Hybrid cloud security must be rebuilt for an AI war it was never designed t

<p>Hybrid cloud security was built before the current era of automated, machine-based cyberattacks that take just milliseconds to execute and minutes to deliver devastating impacts to infrastruc [...]

Match Score: 101.71

venturebeat
Phi-4 proves that a 'data-first' SFT methodology is the new diffe

<p>AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. </p><p>The &l [...]

Match Score: 92.08

venturebeat
New training method boosts AI multimodal reasoning with smaller, smarter da

<p>Researchers at MiroMind AI and several Chinese universities have released <a href="https://arxiv.org/abs/2511.16334"><u>OpenMMReasoner</u></a>, a new trainin [...]

Match Score: 81.17

venturebeat
Meta's new structured prompting technique makes LLMs significantly bet

<p>Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set [...]

Match Score: 76.42

venturebeat
'Western Qwen': IBM wows with Granite 4 LLM launch and hybrid Mam

<p>IBM today <a href="https://www.ibm.com/new/announcements/ibm-granite-4-0-hyper-efficient-high-performance-hybrid-models">announced the release of Granite 4.0</a>, the ne [...]

Match Score: 69.40

venturebeat
TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’

<p>For the last two years, the prevailing logic in generative AI has been one of brute force: if you want better reasoning, you need a bigger model. </p><p>While &quot;small& [...]

Match Score: 67.69

venturebeat
Meta researchers open the LLM black box to repair flawed AI reasoning

<p>Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model&#x27;s (LLM) reasoning and even interven [...]

Match Score: 64.07

venturebeat
Researchers automated LLM reasoning strategy design and cut token usage by

<p>Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time. Ho [...]

Match Score: 60.37