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Vals using react-dom

Description from the NPM package:
React package for working with the DOM.
arfan avatar
arfan
ios_AppStoreFetcher
HTTP
@jsxImportSource https://esm.sh/react@18.2.0
0
disu1112 avatar
disu1112
soaringRedMoose
HTTP
@jsxImportSource https://esm.sh/react@18.2.0
0
Bhatti avatar
Bhatti
nobleJadeRoadrunner
HTTP
@jsxImportSource https://esm.sh/react@18.2.0
0
stevekrouse avatar
stevekrouse
preciseScarletHerring
HTTP
Forked from stevekrouse/cerebrasTemplate
0
stevekrouse avatar
stevekrouse
victoriousGreenLynx
HTTP
Forked from stevekrouse/cerebrasTemplate
0
stevekrouse avatar
stevekrouse
adeptCoralKite
HTTP
Forked from stevekrouse/cerebrasTemplate
0
stevekrouse avatar
stevekrouse
masterfulPeachHookworm
HTTP
Forked from stevekrouse/cerebrasTemplate
0
editedge0 avatar
editedge0
faithfulPlumSkink
HTTP
@jsxImportSource https://esm.sh/react@18.2.0
0
stevekrouse avatar
stevekrouse
cerebrasTemplate
HTTP
Cerebras Inference template This val shows you how you can deploy an app using Cerebras Inference on Val Town in seconds. What is Cerebras? Cerebras is an American chip manufacturer that produces large wafer chips that deliver mind-blowing LLM inference speeds. As of this writing on Jan 17, 2025, Cerebras Inference provides Llama 3.18b, 3.1 70b, and 3.370b at a jaw-dropping 2k tokens per second – that's 50x faster than what the frontier labs produce. Llama 3.370b at 2k tokens per second is particularly noteworthy because it is a GPT-4-class model . This level of intelligence at that level of speed will unlock whole new classes of applications. Quick start Set up Cerebras Sign up for Cerebras Get a Cerebras API Key Save it in a Val Town environment variable called CEREBRAS_API_KEY Once Cerebras is set up in your Val Town account, there are two ways to get started: Fork this app and customize it (or ask Townie AI to customize it) Start a new chat with Townie AI and copy & paste the following instructions: . Use Cerebras for AI on the backend like so: const { OpenAI } = await import("https://esm.sh/openai"); const client = new OpenAI({ apiKey: Deno.env.get("CEREBRAS_API_KEY"), baseURL: "https://api.cerebras.ai/v1" }); const response = await client.chat.completions.create({ model: "llama-3.3-70b", messages: [], }); const generatedText = response.choices[0].message.content; For example, the val in this template was created by asking Townie AI to "Make a chatgpt clone", then I hit shift-enter twice, and then pasted in the instructions on how to use Cerebras from above, then hit enter. Townie built this app on its first try, in about 20 seconds. Sample apps Cerebras Searcher - a Perplexity clone that uses the SerpAPI to do RAG and summaries with Cerebras ( requires a SerpAPI key ) Cerebras Coder - an app that generates websites in a second with Cerebras Cerebras Debater - an app that truly shows Cerebras's speed: it's Cerebras talking to Cerebras in a debate
0
Saqib avatar
Saqib
welcomingAmethystMoose
HTTP
Forked from Saqib/paymentGatewayWeb
0
Saqib avatar
Saqib
paymentGatewayWeb
HTTP
@jsxImportSource https://esm.sh/react@18.2.0
0
Arvindrajput61201 avatar
Arvindrajput61201
rousingTurquoiseKrill
HTTP
Forked from Arvindrajput61201/uprightAmethystCockroach
0
maxm avatar
maxm
trackESMContent
Cron
An interactive, runnable TypeScript val by maxm
0
stevekrouse avatar
stevekrouse
mileiShowGraph
HTTP
Forked from nulo/mileiShowGraph
0
vawogbemi avatar
vawogbemi
lhc
Email
Let Him Cook Query database (instantdb) with natural langauge in email. This just a demo sometimes can be inconsistent. Email: vawogbemi.lhc@valtown.email const _schema = i.schema({ entities: { $users: i.entity({ email: i.string().unique().indexed(), }), goals: i.entity({ title: i.string(), }), todos: i.entity({ title: i.string(), }), }, links: { goalsTodos: { forward: { on: "goals", has: "many", label: "todos", }, reverse: { on: "todos", has: "many", label: "goals", }, }, }, })
1
mrrihanmeer avatar
mrrihanmeer
zanyOrangeCow
HTTP
@jsxImportSource https://esm.sh/react@18.2.0
1