Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...

Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.

As troubling as deepfakes and large language model (LLM)-powered phishing are to the state of cybersecurity today, the truth is that the buzz around these risks may be overshadowing some of the bigger ...

While most large language models like OpenAI's GPT-4 are pre-filled with massive amounts of information, 'prompt engineering' allows generative AI to be tailored for specific industry or even ...

I've had a front-row seat, guiding countless startups as they harness the immense power of cloud and AI. Every day, I witness startups achieving remarkable feats with AI. But here's a secret: The most ...

In the world of Large Language Models, the prompt has long been king. From meticulously designed instructions to carefully constructed examples, crafting the perfect prompt was a delicate art, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the age of artificial intelligence, ...

Yann LeCun’s argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning. LeCun argues that these fundamental limitations will require an entirely ...