Your prompts need to work across hundreds of different user inputs. One good example doesn't guarantee that your prompt will handle edge cases effectively. Without proper testing, you’re shipping prompts that work sometimes. That’s not good enough for real products.
GENERATIVE AI
-
LLM Weaknesses: Making Large Language Models Practical
By
–
LLMs are not plug-and-play geniuses; they often need extra work to be practical in real-world applications. That's what this week's iteration is about: https://
open.substack.com/pub/louisbouch
ard/p/llm-weaknesses-101-what-they-really?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
… -
How LLMs Learn Differently: Strengths and Weaknesses
By
–
LLMs don’t learn like humans. These models have unique strengths and weaknesses that make them powerful building blocks in some areas and unreliable in others.
-
Teachers Face New AI Detection Challenge Amid ChatGPT Era
By
–
All teachers deserve a 20% raise, minimum. Earlier they needed to know the subject, teach it well, and have the patience of a saint.
Now they need all of that and a magical sixth sense to spot what’s written by students…and what's churned out by ChatGPT! -
Generational Balance with AI Technology and Critical Thinking
By
–
Yes it’s an area of concern. But then, I also believe that each generation does find their balance with technology. The baseline gets pushed up, those who are driven and would like to push harder, will use AI smartly, without outsourcing their own thinking to it.
-
Prompt Writers Block: Definition and Causes in Vibe Coding
By
–
Prompt writers block: prompt writers block is a temporary or prolonged period where a vibe coder struggles to write prompts, often emerging due to inability to understand the code which has already been vibe coded.
-
12 Essential Prompt Engineering Tips
By
–
You can’t separate the power of a model from the quality of the prompt. This list is prompt engineering done right.
-
OpenAI Microsoft Partnership Crisis and AI Tools Evolution
By
–
Top stories in AI today: – OpenAI, Microsoft partnership hits boiling point
– MiniMax’s reasoner with 1M token context
– Add image generation & editing to projects
– McKinsey details AI investment paradox
– 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/openai-micro
soft-reach-boiling-point
… -
ElevenLabs Adds Model Context Protocol Support for Voice Agents
By
–
ElevenLabs said its Conversational AI offering now supports Anthropic's open Model Context Protocol (MCP) The development will enable ElevenLabs users to build voice agents that can easily connect to data from third-party apps like Salesforce, HubSpot, and Gmail
-
Moonshot AI Launches Kimi-Dev-72B Open-Source Coding Model
By
–
Moonshot AI launched Kimi-Dev-72B, a new open-source coding model for software engineering tasks It achieves SOTA results on SWE-bench Verified software tasks, surpassing open-source rivals like DeepSeek R1, V3, and Devstral