tmshapland

9 ms·

91.
Debug and Analyze Your Vapi.ai Voice AI Agent(canonical.chat)
2 points by tmshapland 2y ago|0 comments
92.
Show HN: My Voice AI interviews you, then writes your LI / X posts
6 points by tmshapland 2y ago|2 comments
93.
by tmshapland 2y ago
We use Cerebrium for our Mixpanel for Voice AI product ( https://voice.canonical.chat ). Great product. So much easier to set up and more robust than other model hosting providers we've tried (especially AWS!). Really nice pe
94.
by tmshapland 2y ago
We're the founders of Canonical AI. At this company and our last startup, we saw a growing trend in B2B sales. Now more than ever, prospects want to learn about a product on their own before talking to a salesperson. This is especially
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Semantic Caching FAQ(canonical.chat)
3 points by tmshapland 2y ago|1 comments
96.
by tmshapland 2y ago
We've talked to a lot of developers, especially in the Voice AI space, about semantic caching. We keep hearing the same questions again and again. We thought others in the HN community may find this FAQ about semantic caching helpful.
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Show HN: Defeating IVRs (i.e., phone trees) with a semantic cache(canonical.chat)
1 points by tmshapland 2y ago|0 comments
98.
Show HN: Playground for Conversational AI Semantic Caching(colab.research.google.com)
2 points by tmshapland 2y ago|0 comments
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Show HN: A context-aware semantic cache for reducing LLM app latency and cost(github.com)
2 points by tmshapland 2y ago|0 comments
100.
by tmshapland 2y ago
Dev tool companies like ours need to post on social media. Developers like to discover solutions to their problems on search engines and social media rather than responding to cold outreach. But to us, posting on social media feels like bei
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by tmshapland 2y ago
We’ve talked to many developers who try semantic caching with a simple cosine similarity search, see the unsurprisingly poor accuracy from this context-agnostic approach, and kick the can on semantic caching’s cost and latency improvements.
102.
How to Make Semantic Caching Work for Conversational AI(canonical.chat)
2 points by tmshapland 2y ago|1 comments
103.
Semantic caching with context-awareness to reduce Voice AI latency(canonical.chat)
5 points by tmshapland 2y ago|2 comments
104.
by tmshapland 2y ago
Semantic caching can reduce Voice AI latency, but it doesn't work well without building contextual awareness in the caching mechanism. The cache needs to understand the context of what someone is saying in order to know if the response
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by tmshapland 2y ago
thank you! I'm here on LinkedIn. Would love to connect! https://www.linkedin.com/in/tom-shapland-b4494212/
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by tmshapland 2y ago
The playground is really cool! I also really like the directory of Voice AI companies on your site here: https://vocalized.dev/apriora . I've really enjoyed being a part of the Voice AI community. There are a lot of goo
107.
Preventing LLM Hallucinations with Semantic Caching(canonical.chat)
2 points by tmshapland 2y ago|1 comments
108.
by tmshapland 2y ago
Traditional intent-based Voice AI is rigid. Modern LLM-based Voice AI is flexible and adaptive to live conversation, but sometimes responds in unexpected ways. Pre-populating a semantic cache is a way to get consistent Voice AI outputs when
109.
Modeling Human Communication to Build Context-Awareness into LLM Caching(canonical.chat)
3 points by tmshapland 2y ago|1 comments
110.
by tmshapland 2y ago
One of the most fun parts of working with LLMs is finding solutions to technical problems in the ways people have solved the same problems in interpersonal communication. Semantic caching reduces LLM costs and latency, but simple vector sim
111.
by tmshapland 5y ago
This is really neat! I'm curious about what projects people in the community are working on that would benefit from this sort of video-frame searching. My computer vision work is in a niche market and I use images, not video. But I fig
112.
by tmshapland 6y ago
I'm an Aquarium user. There are two ways Aquarium provides value to my company. First, we improved our model performance. Second, I spent less time and less clicks curating my dataset. Regarding model performance, I used Aquarium to im
113.
by tmshapland 7y ago
Hi Dan!
114.
by tmshapland 7y ago
Tule helps farmers make irrigation decisions. We install a proprietary research-based sensor in farmers' fields. The sensor measures the water use and water stress of the plants in an entire field. Tule uses the field-scale plant data,
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by tmshapland 7y ago
Tule | Junior and Senior Software Engineers | Davis, CA (near Sacramento, CA) | Full-Time | ONSITE Tule helps farmers make irrigation decisions. We install a proprietary research-based sensor in farmers' fields. The sensor measures the
116.
by tmshapland 12y ago
Obviously I am unaccustomed to the waters of Hacker News. I meant to post this in response to nkurz's question rather than the main thread. See below. Hi, I'm Tom, the other cofounder at Tule. I developed the recent improvements i
117.
by tmshapland 12y ago
Hi, I'm Tom, the other cofounder at Tule. I developed the recent improvements in Surface Renewal during my PhD work at UC Davis. Examples of scalars, as the term is used in atmospheric science, are air temperature, water vapor concentr