Let's Talk About Jev
Sharaxaad
Videogan waxaan kaga hadlayaa Jev, model cusub oo ay soo saartay shirkadda TypeSafe AI. Model-kani ma aha large language models-ka aan naqaanno sida GPT iyo Claude, waxaana loogu talagalay classification. Wuxuu u shaqeeyaa sida System One: qaybta maskaxda ee jawaabta isla markiiba soo tuurta adigoon ka fikirin. Qoraal token token uma soo saaro, balse su'aashaada iyo jawaabaha aad sii diyaarisay ayuu hal mar ku process-gareeyaa, kadibna wuxuu kuu soo celiyaa go'aan leh probability iyo confidence. LLM-yadu waa undeterministic, Jev-na jawaabtiisu waa la sii ogyahay, hallucination-na ma sameeyo.
Waxaan sharxayaa saddexda nooc ee aad jawaabta u diyaarin karto: choice, sida customer billing-ka loo diro; score, sida 1 ilaa 10; iyo null oo ah true ama false. Tijaabo 27 su'aalood ah, Jev wuxuu ku dhammeeyay 0.114 ilbiriqsi, GPT-na wuxuu qaatay ku dhawaad siddeed ilbiriqsi iyo badh. TypeSafe waxay sheegtay in input-ku yahay $0.042 halkii million token, output-kuna bilaash yahay, halka ay Fable input-ka ka qaaddo $10, output-kana $50. Kadib waxaan tijaabiyay demo home automation ah ee codka lagu maamulo oo uu Claude end-to-end u dhisay. Markaan dhaho "turn off all the lights" ama "open bedroom one door", isla markiiba wuxuu gartaa nalka ama albaabka loo baahan yahay.
Aniga waxaan u arkaa wax amazing ah. Jev wuxuu ku fiican yahay go'aannada degdegga ah sida spam-ka, comments-ka YouTube iyo qalabka IoT, xisaabtase wuu ku xun yahay. Ii sheega sida aad u aragteen, application-kana GitHub ayaan soo gelinayaa, link-iguna wuxuu ku jiri doonaa description-ka.
English summary
A thirteen-minute Somali-language (Af-Soomaali) AI news and demo video from Dugsiiye on Jev, the new model from TypeSafe AI. Mohamed explains that Jev is not a large language model like GPT or Claude but a System One classification model: instead of generating text token by token, it returns a typed, deterministic decision with probability and confidence scores, so it does not hallucinate. He walks through the three answer types you prepare in advance (choice, score and true/false), a speed test where Jev sorts 27 questions in about a tenth of a second while GPT takes over eight seconds, and TypeSafe's pricing of $0.042 per million input tokens with free output. He then demos a voice-controlled home-automation app that switches lights and opens doors instantly, and closes on where classification fits and where it does not, such as math. Free on YouTube.
Waxaad ku baranaysaa
- Waa maxay Jev iyo sababta uusan u ahayn large language model sida GPT iyo Claude
- Farqiga u dhexeeya System One iyo System Two marka lagu hadlo models-ka
- Sababta loogu kalsoonaan karo jawaabaha deterministic-ga marka la barbardhigo LLM-yada
- Saddexda nooc ee jawaabta: choice, score iyo true ama false
- Isbarbardhigga xawaaraha Jev iyo GPT ee tijaabada 27-ka su'aalood
- Qiimaha Jev: input-ka halkii million token iyo output-ka bilaashka ah
- Demo home automation ah ee nalalka iyo albaabada codka lagu maamulo
Cutubyada
- 0:00Hordhaca TypeSafe AI iyo model-ka Jev Af Soomaali
- 2:27Qaabka uu u shaqeeyo Deterministic AI Af Soomaali
- 6:00Isbarbardhigga xawaaraha Jev iyo GPT Af Soomaali
- 7:33Qiimaha jaban ee model-ka Jev Af Soomaali
- 8:48Demo: Home Automation oo cod ku shaqaynaya Af Soomaali
- 11:15Qiimaynta natiijada iyo faa'iidooyinka classification Af Soomaali
- 12:30Soo koobidda iyo gabagabada muuqaalka Af Soomaali
Su'aalo
- Maxaa Jev ka duwan GPT iyo Claude?
- GPT iyo Claude qoraal ayay token token u soo saaraan, jawaabahooduna waa undeterministic. Jev-na waa model System One ah oo loogu talagalay classification: jawaabaha aad sii diyaarisay ayuu mid ka doortaa, isagoo ku siinaya probability iyo confidence, hallucination-na ma sameeyo.
- Immisa ayuu Jev ku kacayaa?
- TypeSafe waxay sheegtay in input-ku yahay $0.042 halkii million token, output-kuna bilaash yahay. Marka la barbardhigo, Fable input-ka wuxuu ka qaadaa $10, output-kana $50 halkii million.
- Maxaan Jev u isticmaali karaa?
- Wuxuu ku fiican yahay go'aannada degdegga ah: u dirista customer-ka qaybta saxda ah, kala saaridda spam-ka, comments-ka togan iyo kuwa taban, iyo maaraynta qalabka guriga sida demo-ga home automation. Xisaabta se wuu ku xun yahay.


