In this online post, it is mentioned that the Phind Model, a CodeLlama-34B-based artificial intelligence model, is capable of answering technical questions. It boasts high speed, capacity, and accuracy, and can enhance its capabilities by utilizing internet resources. The author claims that it has outperformed GPT-4 in the HumanEval test, and is more helpful than GPT-4 in practical problems. Additionally, the Phind Model is five times faster than GPT-4 and supports inputs of up to 16k characters.
However, it has its drawbacks. The author believes that it may not be consistent enough on some difficult questions, requiring multiple generations to get the correct answer. Moreover, it has not undergone peer review or validation by other researchers.
Therefore, I am also curious about comparing Phind and GPT-4 in terms of coding. Below is the prompt I used, and I compared the differences directly by extracting the files they each generated for OrderController.java:
"Could you create a Spring Boot project to call an API resource named '/v1/orders/' with a JSON format of '{"order_no":"123", "total_price":123}', and then respond with a JSON format of '{"status":"done"}'? We need to update the status field in the order table, where the primary key column is order_no. Please provide the group, Java code, Java file name, and all other necessary files."
- Phind
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.PutMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequestMapping("/v1/orders")
public class OrderController {
@Autowired
private OrderService orderService;
@PutMapping
public ResponseEntity updateOrderStatus(@RequestBody Order order) {
orderService.updateOrderStatus(order.getOrderNo(), order.getStatus());
return ResponseEntity.ok("{\"status\":\"done\"}");
}
}
- GPT-4
package com.example.demo.controller;
import com.example.demo.service.OrderService;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;
@RestController
@RequestMapping("/v1/orders")
public class OrderController {
private final OrderService orderService;
public OrderController(OrderService orderService) {
this.orderService = orderService;
}
@PutMapping("/{orderNo}")
public ResponseEntity updateOrder(@PathVariable String orderNo,
@RequestParam Double totalPrice) {
orderService.updateOrderStatus(orderNo, totalPrice);
return ResponseEntity.ok().body(new StatusResponse("done"));
}
private static class StatusResponse {
private String status;
public StatusResponse(String status) {
this.status = status;
}
public String getStatus() {
return status;
}
public void setStatus(String status) {
this.status = status;
}
}
}
The GPT-4 code adheres more to Spring’s recommended practices, such as constructor injection and flexible return types. It also handles URL parameters more finely through @PathVariable and @RequestParam.
The Phind code, on the other hand, is simpler and more direct, but it uses field injection and manually creates the JSON string for the return. It also captures the entire request body in one go with @RequestBody.
Which implementation to choose depends on the specific needs and personal preferences. If you require more flexible error handling or parameter processing, GPT-4 might be more suitable. If you prefer simple and intuitive code, Phind might be a better fit.
Additionally, in OrderService.java, GPT-4 includes a Transactional segment, which I think adds a level of strictness, seemingly making GPT-4 slightly superior in this regard.
Which one do you prefer?

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