@sydneyrunkle I think people in different locations have different mindsets. In some locations people think in a binary way, in others people think with more results to the issue. Will agents influence how people decide?
.@hwchase17 kicked off Interrupt London with a keynote on where agents are headed, and why every org should own their intelligence.
🔴 Full talk: https://t.co/4K7KoeiHlb
⏯️ Every session, on demand: https://t.co/hL8WUWHbjG
@hwchase17 I think every professional website will have ready-to-use MCP with skills. That way every business will increase their chance of agent conversation and eventually make the sales. The question is if LangChain building it?
LangSmith now tracks cache hit rates for your agents 🦜
Cached LLM calls are cheaper and faster, so it's worth knowing how often your agent actually gets a hit.
📊 View your agent's overall hit rate as a single stat
🧵 Break it down thread by thread
📈 Chart it over time with our dashboard templates
Try it out today ➡️ https://t.co/NZbDhzp8xX
@LangChain@hwchase17 Will providing an RSI context to the running agent directly from evals about its previous actions and confusion matrix help the agent improvise itself recursively?
@LangChain@divyasan0 Trust is built when people do act and reflect outside the scope of their work. We can observe and discuss their motives.
However, we don’t come across LLMs like people. So, no trusting LLM judges… we should monitor, verify, score for degradation.
Three SpaceXAI employees are building a company in 3 days with Grok Bot. This is Day 1.
Matt Palmer (@mattyp), Lauren Tan (@poteto), and Roshan Sadanani (@roshan_s) start with research, a plan, and a product.
Live now, plus sessions for engineering, product, and founders.
https://t.co/eV3Tfd5Bf2