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LLMs

1 stories in the last 7 days, reading neutral overall. Quiet in the last 24 hours.

7-day mood: 0.0Neutral 0
Stories, 7 days: 1
Last 24 hours: 0below usual
Sources: 6in the latest 30

LatestThe maker of non-text AI model Jev valued at $7.5B just weeks after launch TechCrunch · Oct 9

Mood and coverage · last 7 days

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LLMs: daily mood and stories, last 7 days
Day	Mood	Stories
Sun, Oct 11	—	0
Sat, Oct 10	—	0
Fri, Oct 9	0.0	1
Thu, Oct 8	—	0
Wed, Oct 7	—	0
Tue, Oct 6	—	0
Mon, Oct 5	—	0
Sun, Oct 4	—	0

Latest on LLMs

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The maker of non-text AI model Jev valued at $7.5B just weeks after launch

What has users and large corporations so excited about Jev is TypeSafe's claim that it works significantly faster and uses far fewer tokens than LLMs.

TechCrunchOct 9Neutral 0

The maker of non-text AI model Jev valued at $7.5B just weeks after launch

PrismML brings its tiny LLMs to Qualcomm-powered smart glasses

Prism's larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.

TechCrunchSep 24Neutral 0

PrismML brings its tiny LLMs to Qualcomm-powered smart glasses

AI hallucination nearly triggers US military operation

"It's important for service members to understand the uncertainty inherent to LLMs," a GovAI research scholar warns.

TechCrunchSep 18Bearish −37

AI hallucination nearly triggers US military operation

PrismML hopes its tiny LLM will change how we all use AI

If AI lab PrismML isn't on your radar yet, it should be.

TechCrunchSep 17

PrismML hopes its tiny LLM will change how we all use AI

US government sides with OpenAI on issue of training LLMs on copyrighted material

"The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the prac…

TechCrunchSep 2Strong bullish +42

US government sides with OpenAI on issue of training LLMs on copyrighted material

Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case str…

Venture BeatAug 16Neutral −12

Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

'Not healthy' LLM use is more common than you think

The VergeAug 4

Reddit is using LLMs to solve a problem LLMs largely created

In the AI era, platforms have no choice but to fight fire with fire to cull spam.

TechCrunchJul 6Neutral 0

Reddit is using LLMs to solve a problem LLMs largely created

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

Even as the geopolitical conversation around AI continues to grow more fraught following the U.S. government's actions to limit the new models from Anthropic a…

Venture BeatJun 29Strong bullish +58

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and co…

Venture BeatJun 11Neutral +14

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

MeMo's memory model lets teams upgrade their LLM without retraining it - and performance jumps 26%

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI - current solutions are either too expensive, too slow, or const…

Venture BeatMay 29Strong bullish +58

MeMo's memory model lets teams upgrade their LLM without retraining it - and performance jumps 26%

Monitoring LLM behavior: Drift, retries, and refusal patterns

The stochastic challenge. Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop rob…

Venture BeatApr 25Neutral +9

Monitoring LLM behavior: Drift, retries, and refusal patterns

From LLMs to hallucinations, here's a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might e…

TechCrunchApr 12Neutral 0

From LLMs to hallucinations, here's a simple guide to common AI terms

How to Run LLM Evaluation for Better AI Performance

Production AI systems embedded in automated workflows, robotics-assisted operations, customer support systems, and compliance environments carry measurable beh…

Robotics & AutomationApr 10

How to Run LLM Evaluation for Better AI Performance

Alibaba leads $290 million investment for building a new kind of AI model as LLM limits emerge

Startup Shengshu plans to use the money for a "general world model," paving the way for more practical robot applications.

CNBC FinanceApr 10Neutral 0

Alibaba leads $290 million investment for building a new kind of AI model as LLM limits emerge

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now runni…

Venture BeatApr 3Neutral 0

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Meta's new structured prompting technique makes LLMs significantly better at code review - boosting accuracy to 93% in some cases

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One m…

Venture BeatApr 1

Meta's new structured prompting technique makes LLMs significantly better at code review - boosting accuracy to 93% in some cases

LLMs

Mood and coverage · last 7 days

Latest on LLMs

The maker of non-text AI model Jev valued at $7.5B just weeks after launch

PrismML brings its tiny LLMs to Qualcomm-powered smart glasses

AI hallucination nearly triggers US military operation

PrismML hopes its tiny LLM will change how we all use AI

US government sides with OpenAI on issue of training LLMs on copyrighted material

Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

'Not healthy' LLM use is more common than you think

Reddit is using LLMs to solve a problem LLMs largely created

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

MeMo's memory model lets teams upgrade their LLM without retraining it - and performance jumps 26%

Monitoring LLM behavior: Drift, retries, and refusal patterns

From LLMs to hallucinations, here's a simple guide to common AI terms

How to Run LLM Evaluation for Better AI Performance

Alibaba leads $290 million investment for building a new kind of AI model as LLM limits emerge

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Meta's new structured prompting technique makes LLMs significantly better at code review - boosting accuracy to 93% in some cases

Nvidia says it can shrink LLM memory 20x without changing model weights

Researchers baked 3x inference speedups directly into LLM weights - without speculative decoding

Canva gets to $4B in revenue as LLM referral traffic rises

Nvidia's new technique cuts LLM reasoning costs by 8x without losing accuracy

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

The 'brownie recipe problem': why LLMs must have fine-grained context to deliver real-time results

MIT's new 'recursive' framework lets LLMs process 10 million tokens without context rot

This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Why your LLM bill is exploding - and how semantic caching can cut it by 73%

Why "which API do I call?" is the wrong question in the LLM era

LLMs and a chipmaking boom: Here's what Xi Jinping said about China's AI wins in his New Year's address

Red teaming LLMs exposes a harsh truth about the AI security arms race

Anthropic signs $200M deal to bring its LLMs to Snowflake's customers

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