1. First, click Start, right-click and select [Microsoft Edge]. 2. Then, click [More] to open [App Settings]. 3. Next, find and enter [Application Permissions]. 4. Then, find [Microphone] in the permissions below. 5. Finally, turn on the switch behind the microphone.

1. First open Microsoft Edge, click the [...] button, and then click the [Settings] option button. 2. Then click the [Password and Autofill] button. 3. The last step is the Microsoft Edge auto-fill setting area.

1. First, right-click the volume in the lower right corner and click [Open Volume Mix]. 2. Then, click the small speaker under the speaker to turn it off. 3. Again, click on the small speaker to open it, and then restart the computer. Solution 2: 1. First, right-click the volume in the lower right corner and click [Playback Device]. 2. Then, right-click the device in the list in the interface and [Disable] all devices. 3. After that, enable the applications one by one, click [OK] to restart the computer.

Step 1: Open the Microsoft Edge browser (as shown in the picture). Step 2: Click the three-dot icon in the upper right corner of the browser window (as shown in the picture). Step 3: In the drop-down menu that appears, select Settings (as shown in the picture). Step 4: Then click Reset Settings (as shown in the picture). Step 5: Under [Reset Settings], click to restore the settings to their default values ??(as shown in the picture). Step 6: When prompted, click the [Reset] button (as shown in the picture).

Local fine-tuning of DeepSeek class models faces the challenge of insufficient computing resources and expertise. To address these challenges, the following strategies can be adopted: Model quantization: convert model parameters into low-precision integers, reducing memory footprint. Use smaller models: Select a pretrained model with smaller parameters for easier local fine-tuning. Data selection and preprocessing: Select high-quality data and perform appropriate preprocessing to avoid poor data quality affecting model effectiveness. Batch training: For large data sets, load data in batches for training to avoid memory overflow. Acceleration with GPU: Use independent graphics cards to accelerate the training process and shorten the training time.

1. First, open Microsoft Edge, click the […] button, and click the [Settings] option button with the mouse. 2. Then, click the [Advanced] button on the left. 3. Finally, the arrow points to the Microsoft Edge media autoplay menu button.

Step 1: First double-click to open the [Microsoft edge] browser (as shown in the picture). Step 2: Click the three-dot button (as shown in the picture). Step 3: Click [Settings] (as shown in the picture). Step 4: Click [edge bar] (as shown in the picture). Step 5: Click the [Open edge bar] button (as shown in the picture). Step 6: Open the edge bar in Microsoft edge browser and complete (as shown in the picture).

1. First open the Microsoft edge browser installed on your computer. 2. Then open the Microsoft edge browser and click [...] in the upper right corner. 3. In the drop-down box that pops up, click the [Settings] button. 4. Then we enter the setting interface of the Microsoft edge browser and click [System]. 5. Finally, we look at the right side of the screen and close [Continue background applications after closing Microsoft Edge] on the right.