#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
🚀 Вышел стабильный JavaScript движок от Google для Android
Новая стабильная библиотека Jetpack JavaScript Engine позволит разработчикам выполнять JS код в изолированной и ограниченной среде.
class MainActivity : ComponentActivity() {
// Теперь nullable, без lateinit
private var jsSandbox: JavaScriptSandbox? = null
private var jsIsolate: JavaScriptIsolate? = null
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
if (!JavaScriptSandbox.isSupported()) {
Log.e("JS", "JavaScriptSandbox не поддерживается")
return
}
lifecycleScope.launch {
// Создаём и сохраняем в nullable-поле
jsSandbox = JavaScriptSandbox
.createConnectedInstanceAsync(applicationContext)
.await()
jsIsolate = jsSandbox?.createIsolate()
// При выполнении гарантируем, что jsIsolate != null
val result: String = jsIsolate
?.evaluateJavaScriptAsync(JS_SCRIPT_SCRING)
?.await()
?: "Ошибка: isolate не инициализирован"
Log.d("JS", "Результат выполнения: $result")
}
}
override fun onDestroy() {
super.onDestroy()
// Закрываем только если не null
jsIsolate?.close()
jsSandbox?.close()
}
}
#jetpack#js